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| author | Christian Lohmaier <lohmaier+LibreOffice@googlemail.com> | 2016-01-25 10:24:09 +0100 |
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| committer | Christian Lohmaier <lohmaier+LibreOffice@googlemail.com> | 2016-01-25 13:05:57 +0100 |
| commit | cf7ed063304873b3b09c81e31ac99f161f46211d (patch) | |
| tree | 7f2f2cbec5ae965280002ab5fd65f9ab220de3aa /source/text/scalc/01/04060181.xhp | |
| parent | 5ca73073d54e8594e36e0390eb763e4246ac7faa (diff) | |
remove multiple spaces (and save with helpauthoring extension)
Change-Id: Ic5d12de95d9265ed411ddc8e56f1db3e150765bf
Diffstat (limited to 'source/text/scalc/01/04060181.xhp')
| -rw-r--r-- | source/text/scalc/01/04060181.xhp | 1346 |
1 files changed, 689 insertions, 657 deletions
diff --git a/source/text/scalc/01/04060181.xhp b/source/text/scalc/01/04060181.xhp index 8ea42e9d79..b21faee62f 100644 --- a/source/text/scalc/01/04060181.xhp +++ b/source/text/scalc/01/04060181.xhp @@ -1,6 +1,5 @@ <?xml version="1.0" encoding="UTF-8"?> <helpdocument version="1.0"> - <!-- * This file is part of the LibreOffice project. * @@ -17,720 +16,753 @@ * License, Version 2.0 (the "License"); you may not use this file * except in compliance with the License. You may obtain a copy of * the License at http://www.apache.org/licenses/LICENSE-2.0 . - --> - +--> <meta> - <topic id="textscalc0104060181xml" indexer="include"> - <title xml-lang="en-US" id="tit">Statistical Functions Part One</title> - <filename>/text/scalc/01/04060181.xhp</filename> - </topic> - </meta> - <body> - <paragraph xml-lang="en-US" id="hd_id3146320" role="heading" level="1" l10n="U" oldref="1"><variable id="ae"><link href="text/scalc/01/04060181.xhp">Statistical Functions Part One</link> -</variable></paragraph> + <topic id="textscalc0104060181xml" indexer="include"> + <title id="tit" xml-lang="en-US">Statistical Functions Part One</title> + <filename>/text/scalc/01/04060181.xhp</filename> + </topic> +</meta> + +<body> + + +<paragraph id="hd_id3146320" role="heading" level="1" xml-lang="en-US"><variable id="ae"><link href="text/scalc/01/04060181.xhp">Statistical Functions Part One</link></variable></paragraph> <sort order="asc"> + <section id="intercept"> -<bookmark xml-lang="en-US" branch="index" id="bm_id3145632"><bookmark_value>INTERCEPT function</bookmark_value> - <bookmark_value>points of intersection</bookmark_value> - <bookmark_value>intersections</bookmark_value> -</bookmark><comment>mw added two entries</comment> +<bookmark xml-lang="en-US" branch="index" id="bm_id3145632"> + <bookmark_value>INTERCEPT function</bookmark_value> + <bookmark_value>points of intersection</bookmark_value> + <bookmark_value>intersections</bookmark_value> +</bookmark> +<comment>mw added two entries</comment> <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_ACHSENABSCHNITT" id="bm_id3153018" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id3145632" role="heading" level="2" l10n="U" oldref="2">INTERCEPT</paragraph> - <paragraph xml-lang="en-US" id="par_id3146887" role="paragraph" l10n="U" oldref="3"><ahelp hid="HID_FUNC_ACHSENABSCHNITT">Calculates the point at which a line will intersect the y-values by using known x-values and y-values.</ahelp></paragraph> - <paragraph xml-lang="en-US" id="hd_id3150374" role="heading" level="3" l10n="U" oldref="4">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id3149718" role="code" l10n="U" oldref="5">INTERCEPT(DataY; DataX)</paragraph> - <paragraph xml-lang="en-US" id="par_id3149947" role="paragraph" l10n="U" oldref="6"> - <emph>DataY</emph> is the dependent set of observations or data.</paragraph> - <paragraph xml-lang="en-US" id="par_id3147412" role="paragraph" l10n="U" oldref="7"> - <emph>DataX</emph> is the independent set of observations or data.</paragraph> - <paragraph xml-lang="en-US" id="par_id3152983" role="paragraph" l10n="U" oldref="8">Names, arrays or references containing numbers must be used here. Numbers can also be entered directly.</paragraph> - <paragraph xml-lang="en-US" id="hd_id3157906" role="heading" level="3" l10n="U" oldref="9">Example</paragraph> - <paragraph xml-lang="en-US" id="par_id3148728" role="paragraph" l10n="U" oldref="10">To calculate the intercept, use cells D3:D9 as the y value and C3:C9 as the x value from the example spreadsheet. Input will be as follows:</paragraph> - <paragraph xml-lang="en-US" id="par_id3149013" role="paragraph" l10n="U" oldref="11"> - <item type="input">=INTERCEPT(D3:D9;C3:C9)</item> = 2.15.</paragraph> - </section> - <section id="count"> -<bookmark xml-lang="en-US" branch="index" id="bm_id3148437"><bookmark_value>COUNT function</bookmark_value> - <bookmark_value>numbers;counting</bookmark_value> -</bookmark><comment>mw added one entry</comment> + +<paragraph id="hd_id3145632" role="heading" level="2" xml-lang="en-US">INTERCEPT</paragraph> +<paragraph id="par_id3146887" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_ACHSENABSCHNITT">Calculates the point at which a line will intersect the y-values by using known x-values and y-values.</ahelp></paragraph> + +<paragraph id="hd_id3150374" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id3149718" role="code" xml-lang="en-US">INTERCEPT(DataY; DataX)</paragraph> +<paragraph id="par_id3149947" role="paragraph" xml-lang="en-US"><emph>DataY</emph> is the dependent set of observations or data.</paragraph> +<paragraph id="par_id3147412" role="paragraph" xml-lang="en-US"><emph>DataX</emph> is the independent set of observations or data.</paragraph> +<paragraph id="par_id3152983" role="paragraph" xml-lang="en-US">Names, arrays or references containing numbers must be used here. Numbers can also be entered directly.</paragraph> + +<paragraph id="hd_id3157906" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id3148728" role="paragraph" xml-lang="en-US">To calculate the intercept, use cells D3:D9 as the y value and C3:C9 as the x value from the example spreadsheet. Input will be as follows:</paragraph> +<paragraph id="par_id3149013" role="paragraph" xml-lang="en-US"><item type="input">=INTERCEPT(D3:D9;C3:C9)</item> = 2.15.</paragraph> +</section> + +<section id="count"> +<bookmark xml-lang="en-US" branch="index" id="bm_id3148437"> + <bookmark_value>COUNT function</bookmark_value> + <bookmark_value>numbers;counting</bookmark_value> +</bookmark> +<comment>mw added one entry</comment> <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_ANZAHL" id="bm_id3153040" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id3148437" role="heading" level="2" l10n="U" - oldref="13">COUNT</paragraph> - <paragraph xml-lang="en-US" id="par_id3150700" role="paragraph" l10n="U" oldref="14"><ahelp hid="HID_FUNC_ANZAHL">Counts how many numbers are in the list of arguments.</ahelp> Text entries are ignored.</paragraph> - <paragraph xml-lang="en-US" id="hd_id3153930" role="heading" level="3" l10n="U" - oldref="15">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id3148585" role="code" l10n="U" oldref="16">COUNT(Value1; Value2; ... Value30)</paragraph> - <paragraph xml-lang="en-US" id="par_id3155827" role="paragraph" l10n="CHG" oldref="17"> - <emph>Value1; Value2, ...</emph> are 1 to 30 values or ranges representing the values to be counted.</paragraph> - <paragraph xml-lang="en-US" id="hd_id3149254" role="heading" level="3" l10n="U" - oldref="18">Example</paragraph> - <paragraph xml-lang="en-US" id="par_id3149953" role="paragraph" l10n="U" oldref="19">The entries 2, 4, 6 and eight in the Value 1-4 fields are to be counted.</paragraph> - <paragraph xml-lang="en-US" id="par_id3154558" role="paragraph" l10n="U" oldref="20"> - <item type="input">=COUNT(2;4;6;"eight")</item> = 3. The count of numbers is therefore 3.</paragraph> - </section> - <section id="counta"> -<bookmark xml-lang="en-US" branch="index" id="bm_id3149729"><bookmark_value>COUNTA function</bookmark_value> - <bookmark_value>number of entries</bookmark_value> -</bookmark><comment>mw added one entry</comment> + +<paragraph id="hd_id3148437" role="heading" level="2" xml-lang="en-US">COUNT</paragraph> +<paragraph id="par_id3150700" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_ANZAHL">Counts how many numbers are in the list of arguments.</ahelp> Text entries are ignored.</paragraph> + +<paragraph id="hd_id3153930" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id3148585" role="code" xml-lang="en-US">COUNT(Value1; Value2; ... Value30)</paragraph> +<paragraph id="par_id3155827" role="paragraph" xml-lang="en-US"><emph>Value1; Value2, ...</emph> are 1 to 30 values or ranges representing the values to be counted.</paragraph> + +<paragraph id="hd_id3149254" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id3149953" role="paragraph" xml-lang="en-US">The entries 2, 4, 6 and eight in the Value 1-4 fields are to be counted.</paragraph> +<paragraph id="par_id3154558" role="paragraph" xml-lang="en-US"><item type="input">=COUNT(2;4;6;"eight")</item> = 3. The count of numbers is therefore 3.</paragraph> +</section> + +<section id="counta"> +<bookmark xml-lang="en-US" branch="index" id="bm_id3149729"> + <bookmark_value>COUNTA function</bookmark_value> + <bookmark_value>number of entries</bookmark_value> +</bookmark> +<comment>mw added one entry</comment> <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_ANZAHL2" id="bm_id3148738" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id3149729" role="heading" level="2" l10n="U" - oldref="22">COUNTA</paragraph> - <paragraph xml-lang="en-US" id="par_id3150142" role="paragraph" l10n="CHG" oldref="23"><ahelp hid="HID_FUNC_ANZAHL2">Counts how many values are in the list of arguments.</ahelp> Text entries are also counted, even when they contain an empty string of length 0. If an argument is an array or reference, empty cells within the array or reference are ignored.<comment>UFI: fix to #i35888#</comment></paragraph> - <paragraph xml-lang="en-US" id="hd_id3148573" role="heading" level="3" l10n="U" - oldref="24">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id3153111" role="code" l10n="U" oldref="25">COUNTA(Value1; Value2; ... Value30)</paragraph> - <paragraph xml-lang="en-US" id="par_id3150001" role="paragraph" l10n="U" oldref="26"> - <emph>Value1; Value2, ...</emph> are 1 to 30 arguments representing the values to be counted.</paragraph> - <paragraph xml-lang="en-US" id="hd_id3150334" role="heading" level="3" l10n="U" - oldref="27">Example</paragraph> - <paragraph xml-lang="en-US" id="par_id3154508" role="paragraph" l10n="U" oldref="28">The entries 2, 4, 6 and eight in the Value 1-4 fields are to be counted.</paragraph> - <paragraph xml-lang="en-US" id="par_id3158000" role="paragraph" l10n="U" oldref="29"> - <item type="input">=COUNTA(2;4;6;"eight")</item> = 4. The count of values is therefore 4.</paragraph> - </section> + +<paragraph id="hd_id3149729" role="heading" level="2" xml-lang="en-US">COUNTA</paragraph> +<paragraph id="par_id3150142" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_ANZAHL2">Counts how many values are in the list of arguments.</ahelp> Text entries are also counted, even when they contain an empty string of length 0. If an argument is an array or reference, empty cells within the array or reference are ignored.<comment>UFI: fix to #i35888#</comment></paragraph> + +<paragraph id="hd_id3148573" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id3153111" role="code" xml-lang="en-US">COUNTA(Value1; Value2; ... Value30)</paragraph> +<paragraph id="par_id3150001" role="paragraph" xml-lang="en-US"><emph>Value1; Value2, ...</emph> are 1 to 30 arguments representing the values to be counted.</paragraph> + +<paragraph id="hd_id3150334" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id3154508" role="paragraph" xml-lang="en-US">The entries 2, 4, 6 and eight in the Value 1-4 fields are to be counted.</paragraph> +<paragraph id="par_id3158000" role="paragraph" xml-lang="en-US"><item type="input">=COUNTA(2;4;6;"eight")</item> = 4. The count of values is therefore 4.</paragraph> +</section> + <section id="countblank"> -<bookmark xml-lang="en-US" branch="index" id="bm_id3150896"><bookmark_value>COUNTBLANK function</bookmark_value> -<bookmark_value>counting;empty cells</bookmark_value> -<bookmark_value>empty cells;counting</bookmark_value> +<bookmark xml-lang="en-US" branch="index" id="bm_id3150896"> + <bookmark_value>COUNTBLANK function</bookmark_value> + <bookmark_value>counting;empty cells</bookmark_value> + <bookmark_value>empty cells;counting</bookmark_value> </bookmark> + <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_ANZAHLLEEREZELLEN" id="bm_id3149730" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id3150896" role="heading" level="2">COUNTBLANK</paragraph> -<paragraph xml-lang="en-US" id="par_id3155260" role="paragraph"><ahelp hid="HID_FUNC_ANZAHLLEEREZELLEN">Returns the number of empty cells.</ahelp></paragraph> -<paragraph xml-lang="en-US" id="hd_id3145144" role="heading" level="3">Syntax</paragraph> -<paragraph xml-lang="en-US" id="par_id3153931" role="code">COUNTBLANK(Range)</paragraph> -<paragraph xml-lang="en-US" id="par_id3149512" role="paragraph">Returns the number of empty cells in the cell range <emph>Range</emph>.</paragraph> -<paragraph xml-lang="en-US" id="hd_id3146139" role="heading" level="3">Example</paragraph> -<paragraph xml-lang="en-US" id="par_id3148586" role="paragraph"> -<item type="input">=COUNTBLANK(A1:B2)</item> returns 4 if cells A1, A2, B1, and B2 are all empty.</paragraph><comment>see also COUNTIF</comment> + +<paragraph id="hd_id3150896" role="heading" level="2" xml-lang="en-US">COUNTBLANK</paragraph> +<paragraph id="par_id3155260" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_ANZAHLLEEREZELLEN">Returns the number of empty cells.</ahelp></paragraph> + +<paragraph id="hd_id3145144" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id3153931" role="code" xml-lang="en-US">COUNTBLANK(Range)</paragraph> +<paragraph id="par_id3149512" role="paragraph" xml-lang="en-US">Returns the number of empty cells in the cell range <emph>Range</emph>.</paragraph> + +<paragraph id="hd_id3146139" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id3148586" role="paragraph" xml-lang="en-US"><item type="input">=COUNTBLANK(A1:B2)</item> returns 4 if cells A1, A2, B1, and B2 are all empty.</paragraph><comment>see also COUNTIF</comment> </section> + <section id="countif"> -<bookmark xml-lang="en-US" branch="index" id="bm_id3164897"><bookmark_value>COUNTIF function</bookmark_value> -<bookmark_value>counting;specified cells</bookmark_value> -</bookmark><comment>mw added one entry</comment> +<bookmark xml-lang="en-US" branch="index" id="bm_id3164897"> + <bookmark_value>COUNTIF function</bookmark_value> + <bookmark_value>counting;specified cells</bookmark_value> +</bookmark> +<comment>mw added one entry</comment> <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_ZAEHLENWENN" id="bm_id3164909" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id3164897" role="heading" level="2" l10n="U" -oldref="547">COUNTIF</paragraph> -<paragraph xml-lang="en-US" id="par_id3164926" role="paragraph"><ahelp hid="HID_FUNC_ZAEHLENWENN">Returns the number of cells that meet with certain criteria within a cell range.</ahelp></paragraph> + +<paragraph id="hd_id3164897" role="heading" level="2" xml-lang="en-US">COUNTIF</paragraph> +<paragraph id="par_id3164926" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_ZAEHLENWENN">Returns the number of cells that meet with certain criteria within a cell range.</ahelp></paragraph> <embed href="text/shared/00/00000001.xhp#regulaer"/> -<paragraph xml-lang="en-US" id="hd_id3164953" role="heading" level="3">Syntax</paragraph> -<paragraph xml-lang="en-US" id="par_id3164967" role="code">COUNTIF(Range; Criteria)</paragraph> -<paragraph xml-lang="en-US" id="par_id3164980" role="paragraph"><emph>Range</emph> is the range to which the criteria are to be applied.</paragraph> -<paragraph xml-lang="en-US" id="par_id3165000" role="paragraph"><emph>Criteria</emph> indicates the criteria in the form of a number, an expression or a character string. These criteria determine which cells are counted. You may also enter a search text in the form of a regular expression, e.g. b.* for all words that begin with b. You may also indicate a cell range that contains the search criterion. If you search for literal text, enclose the text in double quotes.</paragraph> -<paragraph xml-lang="en-US" id="hd_id3165037" role="heading" level="3">Example</paragraph> -<paragraph xml-lang="en-US" id="par_id3166505" role="paragraph">A1:A10 is a cell range containing the numbers <item type="input">2000</item> to <item type="input">2009</item>. Cell B1 contains the number <item type="input">2006</item>. In cell B2, you enter a formula:</paragraph> -<paragraph xml-lang="en-US" id="par_id3581652" role="paragraph"> -<item type="input">=COUNTIF(A1:A10;2006)</item> - this returns 1</paragraph> -<paragraph xml-lang="en-US" id="par_id708639" role="paragraph"> -<item type="input">=COUNTIF(A1:A10;B1)</item> - this returns 1</paragraph> -<paragraph xml-lang="en-US" id="par_id5169225" role="paragraph"> -<item type="input">=COUNTIF(A1:A10;">=2006") </item>- this returns 4</paragraph> -<paragraph xml-lang="en-US" id="par_id2118594" role="paragraph"> -<item type="input">=COUNTIF(A1:A10;"<"&B1)</item> - when B1 contains <item type="input">2006</item>, this returns 6</paragraph> -<paragraph xml-lang="en-US" id="par_id166020" role="paragraph"> -<item type="input">=COUNTIF(A1:A10;C2)</item> where cell C2 contains the text <item type="input">>2006</item> counts the number of cells in the range A1:A10 which are >2006 </paragraph> -<paragraph xml-lang="en-US" id="par_id6386913" role="paragraph">To count only negative numbers: <item type="input">=COUNTIF(A1:A10;"<0")</item> -</paragraph> + +<paragraph id="hd_id3164953" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id3164967" role="code" xml-lang="en-US">COUNTIF(Range; Criteria)</paragraph> +<paragraph id="par_id3164980" role="paragraph" xml-lang="en-US"><emph>Range</emph> is the range to which the criteria are to be applied.</paragraph> +<paragraph id="par_id3165000" role="paragraph" xml-lang="en-US"><emph>Criteria</emph> indicates the criteria in the form of a number, an expression or a character string. These criteria determine which cells are counted. You may also enter a search text in the form of a regular expression, e.g. b.* for all words that begin with b. You may also indicate a cell range that contains the search criterion. If you search for literal text, enclose the text in double quotes.</paragraph> + +<paragraph id="hd_id3165037" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id3166505" role="paragraph" xml-lang="en-US">A1:A10 is a cell range containing the numbers <item type="input">2000</item> to <item type="input">2009</item>. Cell B1 contains the number <item type="input">2006</item>. In cell B2, you enter a formula:</paragraph> +<paragraph id="par_id3581652" role="paragraph" xml-lang="en-US"><item type="input">=COUNTIF(A1:A10;2006)</item> - this returns 1</paragraph> +<paragraph id="par_id708639" role="paragraph" xml-lang="en-US"><item type="input">=COUNTIF(A1:A10;B1)</item> - this returns 1</paragraph> +<paragraph id="par_id5169225" role="paragraph" xml-lang="en-US"><item type="input">=COUNTIF(A1:A10;">=2006") </item>- this returns 4</paragraph> +<paragraph id="par_id2118594" role="paragraph" xml-lang="en-US"><item type="input">=COUNTIF(A1:A10;"<"&B1)</item> - when B1 contains <item type="input">2006</item>, this returns 6</paragraph> +<paragraph id="par_id166020" role="paragraph" xml-lang="en-US"><item type="input">=COUNTIF(A1:A10;C2)</item> where cell C2 contains the text <item type="input">>2006</item> counts the number of cells in the range A1:A10 which are >2006</paragraph> +<paragraph id="par_id6386913" role="paragraph" xml-lang="en-US">To count only negative numbers: <item type="input">=COUNTIF(A1:A10;"<0")</item></paragraph> </section> + <section id="countifs"> + <paragraph id="hd_id224412044220134" role="heading" level="2" localize="false" xml-lang="en-US"><embedvar href="text/scalc/01/func_countifs.xhp#countifs_head"/></paragraph> <paragraph id="par_id16399242326772" role="paragraph" localize="false" xml-lang="en-US"><embedvar href="text/scalc/01/func_countifs.xhp#countifs_des"/></paragraph> </section> - <section id="b"> -<bookmark xml-lang="en-US" branch="index" id="bm_id3150267"><bookmark_value>B function</bookmark_value> - <bookmark_value>probabilities of samples with binomial distribution</bookmark_value> -</bookmark><comment>mw added one entry</comment> + +<section id="b"> +<bookmark xml-lang="en-US" branch="index" id="bm_id3150267"> + <bookmark_value>B function</bookmark_value> + <bookmark_value>probabilities of samples with binomial distribution</bookmark_value> +</bookmark> +<comment>mw added one entry</comment> <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_B" id="bm_id3153044" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id3150267" role="heading" level="2" l10n="U" - oldref="31">B</paragraph> - <paragraph xml-lang="en-US" id="par_id3156061" role="paragraph" l10n="U" oldref="32"><ahelp hid="HID_FUNC_B">Returns the probability of a sample with binomial distribution.</ahelp></paragraph> - <paragraph xml-lang="en-US" id="hd_id3150659" role="heading" level="3" l10n="U" - oldref="33">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id3148392" role="code" l10n="U" oldref="34">B(Trials; SP; T1; T2)</paragraph> - <paragraph xml-lang="en-US" id="par_id3149002" role="paragraph" l10n="U" oldref="35"> - <emph>Trials</emph> is the number of independent trials.</paragraph> - <paragraph xml-lang="en-US" id="par_id3148875" role="paragraph" l10n="U" oldref="36"> - <emph>SP</emph> is the probability of success on each trial.</paragraph> - <paragraph xml-lang="en-US" id="par_id3145352" role="paragraph" l10n="U" oldref="37"> - <emph>T1</emph> defines the lower limit for the number of trials.</paragraph> - <paragraph xml-lang="en-US" id="par_id3149538" role="paragraph" l10n="U" oldref="38"> - <emph>T2</emph> (optional) defines the upper limit for the number of trials.</paragraph> - <paragraph xml-lang="en-US" id="hd_id3148768" role="heading" level="3" l10n="U" - oldref="39">Example</paragraph> - <paragraph xml-lang="en-US" id="par_id3154633" role="paragraph" l10n="U" oldref="40">What is the probability with ten throws of the dice, that a six will come up exactly twice? The probability of a six (or any other number) is 1/6. The following formula combines these factors:</paragraph> - <paragraph xml-lang="en-US" id="par_id3149393" role="paragraph" l10n="U" oldref="41"> - <item type="input">=B(10;1/6;2)</item> returns a probability of 29%.</paragraph> - </section> - <section id="rsq"> -<bookmark xml-lang="en-US" branch="index" id="bm_id3158416"><bookmark_value>RSQ function</bookmark_value> - <bookmark_value>determination coefficients</bookmark_value> - <bookmark_value>regression analysis</bookmark_value> -</bookmark><comment>mw added regression analysis</comment> + +<paragraph id="hd_id3150267" role="heading" level="2" xml-lang="en-US">B</paragraph> +<paragraph id="par_id3156061" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_B">Returns the probability of a sample with binomial distribution.</ahelp></paragraph> + +<paragraph id="hd_id3150659" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id3148392" role="code" xml-lang="en-US">B(Trials; SP; T1; T2)</paragraph> +<paragraph id="par_id3149002" role="paragraph" xml-lang="en-US"><emph>Trials</emph> is the number of independent trials.</paragraph> +<paragraph id="par_id3148875" role="paragraph" xml-lang="en-US"><emph>SP</emph> is the probability of success on each trial.</paragraph> +<paragraph id="par_id3145352" role="paragraph" xml-lang="en-US"><emph>T1</emph> defines the lower limit for the number of trials.</paragraph> +<paragraph id="par_id3149538" role="paragraph" xml-lang="en-US"><emph>T2</emph> (optional) defines the upper limit for the number of trials.</paragraph> + +<paragraph id="hd_id3148768" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id3154633" role="paragraph" xml-lang="en-US">What is the probability with ten throws of the dice, that a six will come up exactly twice? The probability of a six (or any other number) is 1/6. The following formula combines these factors:</paragraph> +<paragraph id="par_id3149393" role="paragraph" xml-lang="en-US"><item type="input">=B(10;1/6;2)</item> returns a probability of 29%.</paragraph> +</section> + +<section id="rsq"> +<bookmark xml-lang="en-US" branch="index" id="bm_id3158416"> + <bookmark_value>RSQ function</bookmark_value> + <bookmark_value>determination coefficients</bookmark_value> + <bookmark_value>regression analysis</bookmark_value> +</bookmark> +<comment>mw added regression analysis</comment> <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_BESTIMMTHEITSMASS" id="bm_id3153228" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id3158416" role="heading" level="2" l10n="U" - oldref="43">RSQ</paragraph> - <paragraph xml-lang="en-US" id="par_id3154949" role="paragraph" l10n="U" oldref="44"><ahelp hid="HID_FUNC_BESTIMMTHEITSMASS">Returns the square of the Pearson correlation coefficient based on the given values.</ahelp> RSQ (also called determination coefficient) is a measure for the accuracy of an adjustment and can be used to produce a regression analysis.</paragraph> - <paragraph xml-lang="en-US" id="hd_id3152820" role="heading" level="3" l10n="U" - oldref="45">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id3155822" role="code" l10n="U" oldref="46">RSQ(DataY; DataX)</paragraph> - <paragraph xml-lang="en-US" id="par_id3150470" role="paragraph" l10n="U" oldref="47"> - <emph>DataY</emph> is an array or range of data points.</paragraph> - <paragraph xml-lang="en-US" id="par_id3153181" role="paragraph" l10n="U" oldref="48"> - <emph>DataX</emph> is an array or range of data points.</paragraph> - <paragraph xml-lang="en-US" id="hd_id3156258" role="heading" level="3" l10n="U" - oldref="49">Example</paragraph> - <paragraph xml-lang="en-US" id="par_id3155991" role="paragraph" l10n="U" oldref="50"> - <item type="input">=RSQ(A1:A20;B1:B20)</item> calculates the determination coefficient for both data sets in columns A and B.</paragraph> - </section> - <section id="betainv"> -<bookmark xml-lang="en-US" branch="index" id="bm_id3145620"><bookmark_value>BETAINV function</bookmark_value> - <bookmark_value>cumulative probability density function;inverse of</bookmark_value> -</bookmark><comment>mw added one entry</comment> + +<paragraph id="hd_id3158416" role="heading" level="2" xml-lang="en-US">RSQ</paragraph> +<paragraph id="par_id3154949" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_BESTIMMTHEITSMASS">Returns the square of the Pearson correlation coefficient based on the given values.</ahelp> RSQ (also called determination coefficient) is a measure for the accuracy of an adjustment and can be used to produce a regression analysis.</paragraph> + +<paragraph id="hd_id3152820" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id3155822" role="code" xml-lang="en-US">RSQ(DataY; DataX)</paragraph> +<paragraph id="par_id3150470" role="paragraph" xml-lang="en-US"><emph>DataY</emph> is an array or range of data points.</paragraph> +<paragraph id="par_id3153181" role="paragraph" xml-lang="en-US"><emph>DataX</emph> is an array or range of data points.</paragraph> + +<paragraph id="hd_id3156258" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id3155991" role="paragraph" xml-lang="en-US"><item type="input">=RSQ(A1:A20;B1:B20)</item> calculates the determination coefficient for both data sets in columns A and B.</paragraph> +</section> + +<section id="betainv"> +<bookmark xml-lang="en-US" branch="index" id="bm_id3145620"> + <bookmark_value>BETAINV function</bookmark_value> + <bookmark_value>cumulative probability density function;inverse of</bookmark_value> +</bookmark> +<comment>mw added one entry</comment> <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_BETAINV" id="bm_id3146154" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id3145620" role="heading" level="2" l10n="U" - oldref="52">BETAINV</paragraph> - <paragraph xml-lang="en-US" id="par_id3149825" role="paragraph" l10n="U" oldref="53"><ahelp hid="HID_FUNC_BETAINV">Returns the inverse of the cumulative beta probability density function.</ahelp></paragraph> - <paragraph xml-lang="en-US" id="hd_id3152479" role="heading" level="3" l10n="U" - oldref="54">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id3156300" role="code" l10n="U" oldref="55">BETAINV(Number; Alpha; Beta; Start; End)</paragraph> - <paragraph xml-lang="en-US" id="par_id3149266" role="paragraph" l10n="U" oldref="56"> - <emph>Number</emph> is the value between <emph>Start</emph> and <emph>End</emph> at which to evaluate the function.</paragraph> - <paragraph xml-lang="en-US" id="par_id3149710" role="paragraph" l10n="U" oldref="57"> - <emph>Alpha</emph> is a parameter to the distribution.</paragraph> - <paragraph xml-lang="en-US" id="par_id3156306" role="paragraph" l10n="U" oldref="58"> - <emph>Beta</emph> is a parameter to the distribution.</paragraph> - <paragraph xml-lang="en-US" id="par_id3150960" role="paragraph" l10n="U" oldref="59"> - <emph>Start</emph> (optional) is the lower bound for <emph>Number</emph>.</paragraph> - <paragraph xml-lang="en-US" id="par_id3151268" role="paragraph" l10n="U" oldref="60"> - <emph>End</emph> (optional) is the upper bound for <emph>Number</emph>.</paragraph> - <paragraph xml-lang="en-US" id="par_idN109DF" role="paragraph" l10n="NEW" localize="false" > - <embedvar href="text/scalc/00/00000004.xhp#optional"/> - </paragraph> - <paragraph xml-lang="en-US" id="hd_id3147077" role="heading" level="3" l10n="U" - oldref="61">Example</paragraph> - <paragraph xml-lang="en-US" id="par_id3146859" role="paragraph" l10n="U" oldref="62"> - <item type="input">=BETAINV(0.5;5;10)</item> returns the value 0.33.</paragraph> - </section> - <section id="betadotinv"> -<bookmark xml-lang="en-US" branch="index" id="bm_id2945620"><bookmark_value>BETA.INV function</bookmark_value> - <bookmark_value>cumulative probability density function;inverse of</bookmark_value> -</bookmark><comment>mw added one entry</comment> + +<paragraph id="hd_id3145620" role="heading" level="2" xml-lang="en-US">BETAINV</paragraph> +<paragraph id="par_id3149825" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_BETAINV">Returns the inverse of the cumulative beta probability density function.</ahelp></paragraph> + +<paragraph id="hd_id3152479" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id3156300" role="code" xml-lang="en-US">BETAINV(Number; Alpha; Beta; Start; End)</paragraph> +<paragraph id="par_id3149266" role="paragraph" xml-lang="en-US"><emph>Number</emph> is the value between <emph>Start</emph> and <emph>End</emph> at which to evaluate the function.</paragraph> +<paragraph id="par_id3149710" role="paragraph" xml-lang="en-US"><emph>Alpha</emph> is a parameter to the distribution.</paragraph> +<paragraph id="par_id3156306" role="paragraph" xml-lang="en-US"><emph>Beta</emph> is a parameter to the distribution.</paragraph> +<paragraph id="par_id3150960" role="paragraph" xml-lang="en-US"><emph>Start</emph> (optional) is the lower bound for <emph>Number</emph>.</paragraph> +<paragraph id="par_id3151268" role="paragraph" xml-lang="en-US"><emph>End</emph> (optional) is the upper bound for <emph>Number</emph>.</paragraph> +<paragraph id="par_idN109DF" role="paragraph" localize="false" xml-lang="en-US"><embedvar href="text/scalc/00/00000004.xhp#optional"/></paragraph> + +<paragraph id="hd_id3147077" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id3146859" role="paragraph" xml-lang="en-US"><item type="input">=BETAINV(0.5;5;10)</item> returns the value 0.33.</paragraph> +</section> + +<section id="betadotinv"> +<bookmark xml-lang="en-US" branch="index" id="bm_id2945620"> + <bookmark_value>BETA.INV function</bookmark_value> + <bookmark_value>cumulative probability density function;inverse of</bookmark_value> +</bookmark> +<comment>mw added one entry</comment> <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_BETAINV_MS" id="bm_id2946154" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id2945620" role="heading" level="2" l10n="U" oldref="52">BETA.INV</paragraph> - <paragraph xml-lang="en-US" id="par_id2949825" role="paragraph" l10n="U" oldref="53"><ahelp hid="HID_FUNC_BETAINV_MS">Returns the inverse of the cumulative beta probability density function.</ahelp></paragraph> - <paragraph xml-lang="en-US" id="hd_id2952479" role="heading" level="3" l10n="U" oldref="54">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id2956300" role="code" l10n="U" oldref="55">BETA.INV(Number; Alpha; Beta; Start; End)</paragraph> - <paragraph xml-lang="en-US" id="par_id2949266" role="paragraph" l10n="U" oldref="56"><emph>Number</emph> is the value between <emph>Start</emph> and <emph>End</emph> at which to evaluate the function.</paragraph> - <paragraph xml-lang="en-US" id="par_id2949710" role="paragraph" l10n="U" oldref="57"><emph>Alpha</emph> is a parameter to the distribution.</paragraph> - <paragraph xml-lang="en-US" id="par_id2956306" role="paragraph" l10n="U" oldref="58"><emph>Beta</emph> is a parameter to the distribution.</paragraph> - <paragraph xml-lang="en-US" id="par_id2950960" role="paragraph" l10n="U" oldref="59"><emph>Start</emph> (optional) is the lower bound for <emph>Number</emph>.</paragraph> - <paragraph xml-lang="en-US" id="par_id2951268" role="paragraph" l10n="U" oldref="60"><emph>End</emph> (optional) is the upper bound for <emph>Number</emph>.</paragraph> - <paragraph xml-lang="en-US" id="par_idN109DFms" role="paragraph" l10n="NEW" localize="false" ><embedvar href="text/scalc/00/00000004.xhp#optional"/></paragraph> - <paragraph xml-lang="en-US" id="hd_id2947077" role="heading" level="3" l10n="U" oldref="61">Example</paragraph> - <paragraph xml-lang="en-US" id="par_id2946859" role="paragraph" l10n="U" oldref="62"> - <item type="input">=BETA.INV(0.5;5;10)</item> returns the value 0.3257511553.</paragraph> - </section> - <section id="betadist"> -<bookmark xml-lang="en-US" branch="index" id="bm_id3156096"><bookmark_value>BETADIST function</bookmark_value> - <bookmark_value>cumulative probability density function;calculating</bookmark_value> -</bookmark><comment>mw added one entry</comment> + +<paragraph id="hd_id2945620" role="heading" level="2" xml-lang="en-US">BETA.INV</paragraph> +<paragraph id="par_id2949825" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_BETAINV_MS">Returns the inverse of the cumulative beta probability density function.</ahelp></paragraph> + +<paragraph id="hd_id2952479" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id2956300" role="code" xml-lang="en-US">BETA.INV(Number; Alpha; Beta; Start; End)</paragraph> +<paragraph id="par_id2949266" role="paragraph" xml-lang="en-US"><emph>Number</emph> is the value between <emph>Start</emph> and <emph>End</emph> at which to evaluate the function.</paragraph> +<paragraph id="par_id2949710" role="paragraph" xml-lang="en-US"><emph>Alpha</emph> is a parameter to the distribution.</paragraph> +<paragraph id="par_id2956306" role="paragraph" xml-lang="en-US"><emph>Beta</emph> is a parameter to the distribution.</paragraph> +<paragraph id="par_id2950960" role="paragraph" xml-lang="en-US"><emph>Start</emph> (optional) is the lower bound for <emph>Number</emph>.</paragraph> +<paragraph id="par_id2951268" role="paragraph" xml-lang="en-US"><emph>End</emph> (optional) is the upper bound for <emph>Number</emph>.</paragraph> +<paragraph id="par_idN109DFms" role="paragraph" localize="false" xml-lang="en-US"><embedvar href="text/scalc/00/00000004.xhp#optional"/></paragraph> + +<paragraph id="hd_id2947077" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id2946859" role="paragraph" xml-lang="en-US"><item type="input">=BETA.INV(0.5;5;10)</item> returns the value 0.3257511553.</paragraph> +</section> + +<section id="betadist"> +<bookmark xml-lang="en-US" branch="index" id="bm_id3156096"> + <bookmark_value>BETADIST function</bookmark_value> + <bookmark_value>cumulative probability density function;calculating</bookmark_value> +</bookmark> +<comment>mw added one entry</comment> <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_BETAVERT" id="bm_id3153213" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id3156096" role="heading" level="2" l10n="U" - oldref="64">BETADIST</paragraph> - <paragraph xml-lang="en-US" id="par_id3150880" role="paragraph" l10n="U" oldref="65"><ahelp hid="HID_FUNC_BETAVERT">Returns the beta function.</ahelp></paragraph> - <paragraph xml-lang="en-US" id="hd_id3150762" role="heading" level="3" l10n="U" - oldref="66">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id3147571" role="code" l10n="CHG" oldref="67">BETADIST(Number; Alpha; Beta; Start; End; Cumulative)</paragraph> - <paragraph xml-lang="en-US" id="par_id3156317" role="paragraph" l10n="U" oldref="68"> - <emph>Number</emph> is the value between <emph>Start</emph> and <emph>End</emph> at which to evaluate the function.</paragraph> - <paragraph xml-lang="en-US" id="par_id3156107" role="paragraph" l10n="U" oldref="69"> - <emph>Alpha</emph> is a parameter to the distribution.</paragraph> - <paragraph xml-lang="en-US" id="par_id3153619" role="paragraph" l10n="U" oldref="70"> - <emph>Beta</emph> is a parameter to the distribution.</paragraph> - <paragraph xml-lang="en-US" id="par_id3150254" role="paragraph" l10n="U" oldref="71"> - <emph>Start</emph> (optional) is the lower bound for <emph>Number</emph>.</paragraph> - <paragraph xml-lang="en-US" id="par_id3149138" role="paragraph" l10n="U" oldref="72"> - <emph>End</emph> (optional) is the upper bound for <emph>Number</emph>.</paragraph> - <paragraph xml-lang="en-US" id="par_id012020091254453" role="paragraph" l10n="NEW"> - <emph>Cumulative</emph> (optional) can be 0 or False to calculate the probability density function. It can be any other value or True or omitted to calculate the cumulative distribution function.</paragraph> - <paragraph xml-lang="en-US" id="par_idN10AB3" role="paragraph" l10n="NEW" localize="false" > - <embedvar href="text/scalc/00/00000004.xhp#optional"/> - </paragraph> - <paragraph xml-lang="en-US" id="hd_id3145649" role="heading" level="3" l10n="U" - oldref="73">Example</paragraph> - <paragraph xml-lang="en-US" id="par_id3156118" role="paragraph" l10n="U" oldref="74"> - <item type="input">=BETADIST(0.75;3;4)</item> returns the value 0.96</paragraph> - </section> - <section id="betadotdist"> -<bookmark xml-lang="en-US" branch="index" id="bm_id2956096"><bookmark_value>BETA.DIST function</bookmark_value> - <bookmark_value>cumulative probability density function;calculating</bookmark_value> -</bookmark><comment>mw added one entry</comment> + +<paragraph id="hd_id3156096" role="heading" level="2" xml-lang="en-US">BETADIST</paragraph> +<paragraph id="par_id3150880" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_BETAVERT">Returns the beta function.</ahelp></paragraph> + +<paragraph id="hd_id3150762" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id3147571" role="code" xml-lang="en-US">BETADIST(Number; Alpha; Beta; Start; End; Cumulative)</paragraph> +<paragraph id="par_id3156317" role="paragraph" xml-lang="en-US"><emph>Number</emph> is the value between <emph>Start</emph> and <emph>End</emph> at which to evaluate the function.</paragraph> +<paragraph id="par_id3156107" role="paragraph" xml-lang="en-US"><emph>Alpha</emph> is a parameter to the distribution.</paragraph> +<paragraph id="par_id3153619" role="paragraph" xml-lang="en-US"><emph>Beta</emph> is a parameter to the distribution.</paragraph> +<paragraph id="par_id3150254" role="paragraph" xml-lang="en-US"><emph>Start</emph> (optional) is the lower bound for <emph>Number</emph>.</paragraph> +<paragraph id="par_id3149138" role="paragraph" xml-lang="en-US"><emph>End</emph> (optional) is the upper bound for <emph>Number</emph>.</paragraph> +<paragraph id="par_id012020091254453" role="paragraph" xml-lang="en-US"><emph>Cumulative</emph> (optional) can be 0 or False to calculate the probability density function. It can be any other value or True or omitted to calculate the cumulative distribution function.</paragraph> +<paragraph id="par_idN10AB3" role="paragraph" localize="false" xml-lang="en-US"><embedvar href="text/scalc/00/00000004.xhp#optional"/></paragraph> + +<paragraph id="hd_id3145649" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id3156118" role="paragraph" xml-lang="en-US"><item type="input">=BETADIST(0.75;3;4)</item> returns the value 0.96</paragraph> +</section> + +<section id="betadotdist"> +<bookmark xml-lang="en-US" branch="index" id="bm_id2956096"> + <bookmark_value>BETA.DIST function</bookmark_value> + <bookmark_value>cumulative probability density function;calculating</bookmark_value> +</bookmark> +<comment>mw added one entry</comment> <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_BETADIST_MS" id="bm_id2953213" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id2956096" role="heading" level="2" l10n="U" oldref="64">BETA.DIST</paragraph> - <paragraph xml-lang="en-US" id="par_id2950880" role="paragraph" l10n="U" oldref="65"><ahelp hid="HID_FUNC_BETADIST_MS">Returns the beta function.</ahelp></paragraph> - <paragraph xml-lang="en-US" id="hd_id2950762" role="heading" level="3" l10n="U" oldref="66">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id2947571" role="code" l10n="CHG" oldref="67">BETA.DIST(Number; Alpha; Beta; Cumulative; Start; End)</paragraph> - <paragraph xml-lang="en-US" id="par_id2956317" role="paragraph" l10n="U" oldref="68"><emph>Number</emph> (required) is the value between <emph>Start</emph> and <emph>End</emph> at which to evaluate the function.</paragraph> - <paragraph xml-lang="en-US" id="par_id2956107" role="paragraph" l10n="U" oldref="69"><emph>Alpha</emph> (required) is a parameter to the distribution.</paragraph> - <paragraph xml-lang="en-US" id="par_id2953619" role="paragraph" l10n="U" oldref="70"><emph>Beta</emph> (required) is a parameter to the distribution.</paragraph> - <paragraph xml-lang="en-US" id="par_id062920141254453" role="paragraph" l10n="NEW"><emph>Cumulative</emph> (required) can be 0 or False to calculate the probability density function. It can be any other value or True to calculate the cumulative distribution function.</paragraph> - <paragraph xml-lang="en-US" id="par_id2950254" role="paragraph" l10n="U" oldref="71"><emph>Start</emph> (optional) is the lower bound for <emph>Number</emph>.</paragraph> - <paragraph xml-lang="en-US" id="par_id2949138" role="paragraph" l10n="U" oldref="72"><emph>End</emph> (optional) is the upper bound for <emph>Number</emph>.</paragraph> - <paragraph xml-lang="en-US" id="par_idN10AB3ms" role="paragraph" l10n="NEW" localize="false" ><embedvar href="text/scalc/00/00000004.xhp#optional"/></paragraph> - <paragraph xml-lang="en-US" id="hd_id2945649" role="heading" level="3" l10n="U" oldref="73">Examples</paragraph> - <paragraph xml-lang="en-US" id="par_id2956118" role="paragraph" l10n="U" oldref="74"><item type="input">=BETA.DIST(2;8;10;1;1;3)</item> returns the value 0.6854706</paragraph> - <paragraph xml-lang="en-US" id="par_id2956119" role="paragraph" l10n="U" oldref="74"><item type="input">=BETA.DIST(2;8;10;0;1;3)</item> returns the value 1.4837646</paragraph> - </section> - <section id="binomdist"> -<bookmark xml-lang="en-US" branch="index" id="bm_id3143228"><bookmark_value>BINOMDIST function</bookmark_value> + +<paragraph id="hd_id2956096" role="heading" level="2" xml-lang="en-US">BETA.DIST</paragraph> +<paragraph id="par_id2950880" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_BETADIST_MS">Returns the beta function.</ahelp></paragraph> + +<paragraph id="hd_id2950762" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id2947571" role="code" xml-lang="en-US">BETA.DIST(Number; Alpha; Beta; Cumulative; Start; End)</paragraph> +<paragraph id="par_id2956317" role="paragraph" xml-lang="en-US"><emph>Number</emph> (required) is the value between <emph>Start</emph> and <emph>End</emph> at which to evaluate the function.</paragraph> +<paragraph id="par_id2956107" role="paragraph" xml-lang="en-US"><emph>Alpha</emph> (required) is a parameter to the distribution.</paragraph> +<paragraph id="par_id2953619" role="paragraph" xml-lang="en-US"><emph>Beta</emph> (required) is a parameter to the distribution.</paragraph> +<paragraph id="par_id062920141254453" role="paragraph" xml-lang="en-US"><emph>Cumulative</emph> (required) can be 0 or False to calculate the probability density function. It can be any other value or True to calculate the cumulative distribution function.</paragraph> +<paragraph id="par_id2950254" role="paragraph" xml-lang="en-US"><emph>Start</emph> (optional) is the lower bound for <emph>Number</emph>.</paragraph> +<paragraph id="par_id2949138" role="paragraph" xml-lang="en-US"><emph>End</emph> (optional) is the upper bound for <emph>Number</emph>.</paragraph> +<paragraph id="par_idN10AB3ms" role="paragraph" localize="false" xml-lang="en-US"><embedvar href="text/scalc/00/00000004.xhp#optional"/></paragraph> + +<paragraph id="hd_id2945649" role="heading" level="3" xml-lang="en-US">Examples</paragraph> +<paragraph id="par_id2956118" role="paragraph" xml-lang="en-US"><item type="input">=BETA.DIST(2;8;10;1;1;3)</item> returns the value 0.6854706</paragraph> +<paragraph id="par_id2956119" role="paragraph" xml-lang="en-US"><item type="input">=BETA.DIST(2;8;10;0;1;3)</item> returns the value 1.4837646</paragraph> +</section> + +<section id="binomdist"> +<bookmark xml-lang="en-US" branch="index" id="bm_id3143228"> + <bookmark_value>BINOMDIST function</bookmark_value> </bookmark> + <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_BINOMVERT" id="bm_id3150146" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id3143228" role="heading" level="2" l10n="U" - oldref="76">BINOMDIST</paragraph> - <paragraph xml-lang="en-US" id="par_id3146897" role="paragraph" l10n="U" oldref="77"><ahelp hid="HID_FUNC_BINOMVERT">Returns the individual term binomial distribution probability.</ahelp></paragraph> - <paragraph xml-lang="en-US" id="hd_id3149289" role="heading" level="3" l10n="U" - oldref="78">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id3156009" role="code" l10n="U" oldref="79">BINOMDIST(X; Trials; SP; C)</paragraph> - <paragraph xml-lang="en-US" id="par_id3154304" role="paragraph" l10n="U" oldref="80"> - <emph>X</emph> is the number of successes in a set of trials.</paragraph> - <paragraph xml-lang="en-US" id="par_id3147492" role="paragraph" l10n="U" oldref="81"> - <emph>Trials</emph> is the number of independent trials.</paragraph> - <paragraph xml-lang="en-US" id="par_id3146085" role="paragraph" l10n="U" oldref="82"> - <emph>SP</emph> is the probability of success on each trial.</paragraph> - <paragraph xml-lang="en-US" id="par_id3149760" role="paragraph" l10n="U" oldref="83"> - <emph>C</emph> = 0 calculates the probability of a single event and <emph>C</emph> = 1 calculates the cumulative probability.</paragraph> - <paragraph xml-lang="en-US" id="hd_id3151171" role="heading" level="3" l10n="U" - oldref="84">Example</paragraph> - <paragraph xml-lang="en-US" id="par_id3145666" role="paragraph" l10n="U" oldref="85"> - <item type="input">=BINOMDIST(A1;12;0.5;0)</item> shows (if the values <item type="input">0</item> to <item type="input">12</item> are entered in A1) the probabilities for 12 flips of a coin that <emph>Heads</emph> will come up exactly the number of times entered in A1.</paragraph> - <paragraph xml-lang="en-US" id="par_id3150120" role="paragraph" l10n="U" oldref="86"> - <item type="input">=BINOMDIST(A1;12;0.5;1)</item> shows the cumulative probabilities for the same series. For example, if A1 = <item type="input">4</item>, the cumulative probability of the series is 0, 1, 2, 3 or 4 times <emph>Heads</emph> (non-exclusive OR).</paragraph> - </section> + +<paragraph id="hd_id3143228" role="heading" level="2" xml-lang="en-US">BINOMDIST</paragraph> +<paragraph id="par_id3146897" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_BINOMVERT">Returns the individual term binomial distribution probability.</ahelp></paragraph> + +<paragraph id="hd_id3149289" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id3156009" role="code" xml-lang="en-US">BINOMDIST(X; Trials; SP; C)</paragraph> +<paragraph id="par_id3154304" role="paragraph" xml-lang="en-US"><emph>X</emph> is the number of successes in a set of trials.</paragraph> +<paragraph id="par_id3147492" role="paragraph" xml-lang="en-US"><emph>Trials</emph> is the number of independent trials.</paragraph> +<paragraph id="par_id3146085" role="paragraph" xml-lang="en-US"><emph>SP</emph> is the probability of success on each trial.</paragraph> +<paragraph id="par_id3149760" role="paragraph" xml-lang="en-US"><emph>C</emph> = 0 calculates the probability of a single event and <emph>C</emph> = 1 calculates the cumulative probability.</paragraph> + +<paragraph id="hd_id3151171" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id3145666" role="paragraph" xml-lang="en-US"><item type="input">=BINOMDIST(A1;12;0.5;0)</item> shows (if the values <item type="input">0</item> to <item type="input">12</item> are entered in A1) the probabilities for 12 flips of a coin that <emph>Heads</emph> will come up exactly the number of times entered in A1.</paragraph> +<paragraph id="par_id3150120" role="paragraph" xml-lang="en-US"><item type="input">=BINOMDIST(A1;12;0.5;1)</item> shows the cumulative probabilities for the same series. For example, if A1 = <item type="input">4</item>, the cumulative probability of the series is 0, 1, 2, 3 or 4 times <emph>Heads</emph> (non-exclusive OR).</paragraph> +</section> + <section id="binomdotdist"> -<bookmark xml-lang="en-US" branch="index" id="bm_id2943228"><bookmark_value>BINOM.DIST function</bookmark_value></bookmark> +<bookmark xml-lang="en-US" branch="index" id="bm_id2943228"> + <bookmark_value>BINOM.DIST function</bookmark_value> +</bookmark> + <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_BINOM_DIST_MS" id="bm_id2950146" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id2943228" role="heading" level="2" l10n="U" oldref="76">BINOM.DIST</paragraph> -<paragraph xml-lang="en-US" id="par_id2946897" role="paragraph" l10n="U" oldref="77"><ahelp hid="HID_FUNC_BINOM_DIST_MS">Returns the individual term binomial distribution probability.</ahelp></paragraph> -<paragraph xml-lang="en-US" id="hd_id2949289" role="heading" level="3" l10n="U" oldref="78">Syntax</paragraph> -<paragraph xml-lang="en-US" id="par_id2956009" role="code" l10n="U" oldref="79">BINOM.DIST(X; Trials; SP; C)</paragraph> -<paragraph xml-lang="en-US" id="par_id2954304" role="paragraph" l10n="U" oldref="80"><emph>X</emph> is the number of successes in a set of trials.</paragraph> -<paragraph xml-lang="en-US" id="par_id2947492" role="paragraph" l10n="U" oldref="81"><emph>Trials</emph> is the number of independent trials.</paragraph> -<paragraph xml-lang="en-US" id="par_id2946085" role="paragraph" l10n="U" oldref="82"><emph>SP</emph> is the probability of success on each trial.</paragraph> -<paragraph xml-lang="en-US" id="par_id299760" role="paragraph" l10n="U" oldref="83"><emph>C</emph> = 0 calculates the probability of a single event and <emph>C</emph> = 1 calculates the cumulative probability.</paragraph> -<paragraph xml-lang="en-US" id="hd_id291171" role="heading" level="3" l10n="U" oldref="84">Example</paragraph> -<paragraph xml-lang="en-US" id="par_id295666" role="paragraph" l10n="U" oldref="85"> - <item type="input">=BINOM.DIST(A1;12;0.5;0)</item> shows (if the values <item type="input">0</item> to <item type="input">12</item> are entered in A1) the probabilities for 12 flips of a coin that <emph>Heads</emph> will come up exactly the number of times entered in A1.</paragraph> -<paragraph xml-lang="en-US" id="par_id290120" role="paragraph" l10n="U" oldref="86"> - <item type="input">=BINOM.DIST(A1;12;0.5;1)</item> shows the cumulative probabilities for the same series. For example, if A1 = <item type="input">4</item>, the cumulative probability of the series is 0, 1, 2, 3 or 4 times <emph>Heads</emph> (non-exclusive OR).</paragraph> + +<paragraph id="hd_id2943228" role="heading" level="2" xml-lang="en-US">BINOM.DIST</paragraph> +<paragraph id="par_id2946897" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_BINOM_DIST_MS">Returns the individual term binomial distribution probability.</ahelp></paragraph> + +<paragraph id="hd_id2949289" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id2956009" role="code" xml-lang="en-US">BINOM.DIST(X; Trials; SP; C)</paragraph> +<paragraph id="par_id2954304" role="paragraph" xml-lang="en-US"><emph>X</emph> is the number of successes in a set of trials.</paragraph> +<paragraph id="par_id2947492" role="paragraph" xml-lang="en-US"><emph>Trials</emph> is the number of independent trials.</paragraph> +<paragraph id="par_id2946085" role="paragraph" xml-lang="en-US"><emph>SP</emph> is the probability of success on each trial.</paragraph> +<paragraph id="par_id299760" role="paragraph" xml-lang="en-US"><emph>C</emph> = 0 calculates the probability of a single event and <emph>C</emph> = 1 calculates the cumulative probability.</paragraph> + +<paragraph id="hd_id291171" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id295666" role="paragraph" xml-lang="en-US"><item type="input">=BINOM.DIST(A1;12;0.5;0)</item> shows (if the values <item type="input">0</item> to <item type="input">12</item> are entered in A1) the probabilities for 12 flips of a coin that <emph>Heads</emph> will come up exactly the number of times entered in A1.</paragraph> +<paragraph id="par_id290120" role="paragraph" xml-lang="en-US"><item type="input">=BINOM.DIST(A1;12;0.5;1)</item> shows the cumulative probabilities for the same series. For example, if A1 = <item type="input">4</item>, the cumulative probability of the series is 0, 1, 2, 3 or 4 times <emph>Heads</emph> (non-exclusive OR).</paragraph> </section> + <section id="binomdotinv"> -<bookmark xml-lang="en-US" branch="index" id="bm_id2843228"><bookmark_value>BINOM.INV function</bookmark_value></bookmark> +<bookmark xml-lang="en-US" branch="index" id="bm_id2843228"> + <bookmark_value>BINOM.INV function</bookmark_value> +</bookmark> + <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_BINOM_INV_MS" id="bm_id2850146" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id2843228" role="heading" level="2" l10n="U" oldref="76">BINOM.INV</paragraph> -<paragraph xml-lang="en-US" id="par_id2846897" role="paragraph" l10n="U" oldref="77"><ahelp hid="HID_FUNC_BINOM_INV_MS">Returns the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value.</ahelp></paragraph> -<paragraph xml-lang="en-US" id="hd_id2849289" role="heading" level="3" l10n="U" oldref="78">Syntax</paragraph> -<paragraph xml-lang="en-US" id="par_id2856009" role="code" l10n="U" oldref="79">BINOM.INV(Trials; SP; Alpha)</paragraph> -<paragraph xml-lang="en-US" id="par_id2847492" role="paragraph" l10n="U" oldref="81"><emph>Trials</emph> The total number of trials.</paragraph> -<paragraph xml-lang="en-US" id="par_id2846085" role="paragraph" l10n="U" oldref="82"><emph>SP</emph> is the probability of success on each trial.</paragraph> -<paragraph xml-lang="en-US" id="par_id289760" role="paragraph" l10n="U" oldref="83"><emph>Alpha</emph>The border probability that is attained or exceeded.</paragraph> -<paragraph xml-lang="en-US" id="hd_id281171" role="heading" level="3" l10n="U" oldref="84">Example</paragraph> -<paragraph xml-lang="en-US" id="par_id285666" role="paragraph" l10n="U" oldref="85"><item type="input">=BINOM.INV(8;0.6;0.9)</item> returns 7, the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value.</paragraph> + +<paragraph id="hd_id2843228" role="heading" level="2" xml-lang="en-US">BINOM.INV</paragraph> +<paragraph id="par_id2846897" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_BINOM_INV_MS">Returns the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value.</ahelp></paragraph> + +<paragraph id="hd_id2849289" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id2856009" role="code" xml-lang="en-US">BINOM.INV(Trials; SP; Alpha)</paragraph> +<paragraph id="par_id2847492" role="paragraph" xml-lang="en-US"><emph>Trials</emph> The total number of trials.</paragraph> +<paragraph id="par_id2846085" role="paragraph" xml-lang="en-US"><emph>SP</emph> is the probability of success on each trial.</paragraph> +<paragraph id="par_id289760" role="paragraph" xml-lang="en-US"><emph>Alpha</emph>The border probability that is attained or exceeded.</paragraph> + +<paragraph id="hd_id281171" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id285666" role="paragraph" xml-lang="en-US"><item type="input">=BINOM.INV(8;0.6;0.9)</item> returns 7, the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value.</paragraph> </section> - <section id="chisqinv"> + +<section id="chisqinv"> <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_CHISQINV" id="bm_id0119200902430717" localize="false"/> -<bookmark xml-lang="en-US" branch="index" id="bm_id0119200902432928"><bookmark_value>CHISQINV function</bookmark_value> +<bookmark xml-lang="en-US" branch="index" id="bm_id0119200902432928"> + <bookmark_value>CHISQINV function</bookmark_value> </bookmark> -<paragraph xml-lang="en-US" id="hd_id0119200902421451" role="heading" level="2" l10n="NEW">CHISQINV</paragraph> - <paragraph xml-lang="en-US" id="par_id0119200902421449" role="paragraph" l10n="NEW"><ahelp hid=".">Returns the inverse of CHISQDIST.</ahelp></paragraph> - <paragraph xml-lang="en-US" id="hd_id0119200902475241" role="heading" level="3" l10n="NEW">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id0119200902475286" role="paragraph" l10n="NEW"> - <emph>Probability</emph> is the probability value for which the inverse of the chi-square distribution is to be calculated.</paragraph> - <paragraph xml-lang="en-US" id="par_id0119200902475282" role="paragraph" l10n="NEW"> - <emph>Degrees Of Freedom</emph> is the degrees of freedom for the chi-square function.</paragraph> - </section> + + +<paragraph id="hd_id0119200902421451" role="heading" level="2" xml-lang="en-US">CHISQINV</paragraph> +<paragraph id="par_id0119200902421449" role="paragraph" xml-lang="en-US"><ahelp hid=".">Returns the inverse of CHISQDIST.</ahelp></paragraph> + +<paragraph id="hd_id0119200902475241" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id0119200902475286" role="paragraph" xml-lang="en-US"><emph>Probability</emph> is the probability value for which the inverse of the chi-square distribution is to be calculated.</paragraph> +<paragraph id="par_id0119200902475282" role="paragraph" xml-lang="en-US"><emph>Degrees Of Freedom</emph> is the degrees of freedom for the chi-square function.</paragraph> +</section> + <section id="chisqdotinv"> - <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_CHISQINV_MS" id="bm_id2919200902430717" localize="false"/> - <bookmark xml-lang="en-US" branch="index" id="bm_id2919200902432928"> - <bookmark_value>CHISQ.INV function</bookmark_value> - </bookmark> - <paragraph xml-lang="en-US" id="hd_id2919200902421451" role="heading" level="2" l10n="NEW">CHISQ.INV</paragraph> - <paragraph xml-lang="en-US" id="par_id2919200902421449" role="paragraph" l10n="NEW"><ahelp hid="HID_FUNC_CHISQINV_MS">Returns the inverse of the left-tailed probability of the chi-square distribution.</ahelp></paragraph> - <paragraph xml-lang="en-US" id="hd_id2919200902475241" role="heading" level="3" l10n="NEW">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id1150504" role="code" l10n="U" oldref="91">CHISQ.INV(Probability; DegreesFreedom)</paragraph> - <paragraph xml-lang="en-US" id="par_id2919200902475286" role="paragraph" l10n="NEW"><emph>Probability</emph> is the probability value for which the inverse of the chi-square distribution is to be calculated.</paragraph> - <paragraph xml-lang="en-US" id="par_id2919200902475282" role="paragraph" l10n="NEW"><emph>Degrees Of Freedom</emph> is the degrees of freedom for the chi-square function.</paragraph> - <paragraph xml-lang="en-US" id="hd_id271171" role="heading" level="3" l10n="U" oldref="84">Example</paragraph> - <paragraph xml-lang="en-US" id="par_id275666" role="paragraph" l10n="U" oldref="85"><item type="input">=CHISQ.INV(0,5;1)</item> returns 0.4549364231.</paragraph> - </section> - <section id="chiinv"> -<bookmark xml-lang="en-US" branch="index" id="bm_id3148835"><bookmark_value>CHIINV function</bookmark_value> +<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_CHISQINV_MS" id="bm_id2919200902430717" localize="false"/> +<bookmark xml-lang="en-US" branch="index" id="bm_id2919200902432928"> + <bookmark_value>CHISQ.INV function</bookmark_value> +</bookmark> + + +<paragraph id="hd_id2919200902421451" role="heading" level="2" xml-lang="en-US">CHISQ.INV</paragraph> +<paragraph id="par_id2919200902421449" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_CHISQINV_MS">Returns the inverse of the left-tailed probability of the chi-square distribution.</ahelp></paragraph> + +<paragraph id="hd_id2919200902475241" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id1150504" role="code" xml-lang="en-US">CHISQ.INV(Probability; DegreesFreedom)</paragraph> +<paragraph id="par_id2919200902475286" role="paragraph" xml-lang="en-US"><emph>Probability</emph> is the probability value for which the inverse of the chi-square distribution is to be calculated.</paragraph> +<paragraph id="par_id2919200902475282" role="paragraph" xml-lang="en-US"><emph>Degrees Of Freedom</emph> is the degrees of freedom for the chi-square function.</paragraph> + +<paragraph id="hd_id271171" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id275666" role="paragraph" xml-lang="en-US"><item type="input">=CHISQ.INV(0,5;1)</item> returns 0.4549364231.</paragraph> +</section> + +<section id="chiinv"> +<bookmark xml-lang="en-US" branch="index" id="bm_id3148835"> + <bookmark_value>CHIINV function</bookmark_value> </bookmark> + <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_CHIINV" id="bm_id3148823" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id3148835" role="heading" level="2" l10n="U" - oldref="88">CHIINV</paragraph> - <paragraph xml-lang="en-US" id="par_id3149906" role="paragraph" l10n="U" oldref="89"><ahelp hid="HID_FUNC_CHIINV">Returns the inverse of the one-tailed probability of the chi-squared distribution.</ahelp></paragraph> - <paragraph xml-lang="en-US" id="hd_id3159157" role="heading" level="3" l10n="U" - oldref="90">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id3150504" role="code" l10n="U" oldref="91">CHIINV(Number; DegreesFreedom)</paragraph> - <paragraph xml-lang="en-US" id="par_id3154898" role="paragraph" l10n="U" oldref="92"> - <emph>Number</emph> is the value of the error probability.</paragraph> - <paragraph xml-lang="en-US" id="par_id3154294" role="paragraph" l10n="U" oldref="93"> - <emph>DegreesFreedom</emph> is the degrees of freedom of the experiment.</paragraph> - <paragraph xml-lang="en-US" id="hd_id3154208" role="heading" level="3" l10n="U" - oldref="94">Example</paragraph> - <paragraph xml-lang="en-US" id="par_id3150777" role="paragraph" l10n="U" oldref="130">A die is thrown 1020 times. The numbers on the die 1 through 6 come up 195, 151, 148, 189, 183 and 154 times (observation values). The hypothesis that the die is not fixed is to be tested.</paragraph> - <paragraph xml-lang="en-US" id="par_id3153062" role="paragraph" l10n="U" oldref="131">The Chi square distribution of the random sample is determined by the formula given above. Since the expected value for a given number on the die for n throws is n times 1/6, thus 1020/6 = 170, the formula returns a Chi square value of 13.27.</paragraph> - <paragraph xml-lang="en-US" id="par_id3148806" role="paragraph" l10n="U" oldref="132">If the (observed) Chi square is greater than or equal to the (theoretical) Chi square CHIINV, the hypothesis will be discarded, since the deviation between theory and experiment is too great. If the observed Chi square is less that CHIINV, the hypothesis is confirmed with the indicated probability of error.</paragraph> - <paragraph xml-lang="en-US" id="par_id3149763" role="paragraph" l10n="U" oldref="95"> - <item type="input">=CHIINV(0.05;5)</item> returns 11.07.</paragraph> - <paragraph xml-lang="en-US" id="par_id3159142" role="paragraph" l10n="U" oldref="133"> - <item type="input">=CHIINV(0.02;5)</item> returns 13.39.</paragraph> - <paragraph xml-lang="en-US" id="par_id3158401" role="paragraph" l10n="U" oldref="134">If the probability of error is 5%, the die is not true. If the probability of error is 2%, there is no reason to believe it is fixed.</paragraph> - </section> + +<paragraph id="hd_id3148835" role="heading" level="2" xml-lang="en-US">CHIINV</paragraph> +<paragraph id="par_id3149906" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_CHIINV">Returns the inverse of the one-tailed probability of the chi-squared distribution.</ahelp></paragraph> + +<paragraph id="hd_id3159157" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id3150504" role="code" xml-lang="en-US">CHIINV(Number; DegreesFreedom)</paragraph> +<paragraph id="par_id3154898" role="paragraph" xml-lang="en-US"><emph>Number</emph> is the value of the error probability.</paragraph> +<paragraph id="par_id3154294" role="paragraph" xml-lang="en-US"><emph>DegreesFreedom</emph> is the degrees of freedom of the experiment.</paragraph> + +<paragraph id="hd_id3154208" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id3150777" role="paragraph" xml-lang="en-US">A die is thrown 1020 times. The numbers on the die 1 through 6 come up 195, 151, 148, 189, 183 and 154 times (observation values). The hypothesis that the die is not fixed is to be tested.</paragraph> +<paragraph id="par_id3153062" role="paragraph" xml-lang="en-US">The Chi square distribution of the random sample is determined by the formula given above. Since the expected value for a given number on the die for n throws is n times 1/6, thus 1020/6 = 170, the formula returns a Chi square value of 13.27.</paragraph> +<paragraph id="par_id3148806" role="paragraph" xml-lang="en-US">If the (observed) Chi square is greater than or equal to the (theoretical) Chi square CHIINV, the hypothesis will be discarded, since the deviation between theory and experiment is too great. If the observed Chi square is less that CHIINV, the hypothesis is confirmed with the indicated probability of error.</paragraph> +<paragraph id="par_id3149763" role="paragraph" xml-lang="en-US"><item type="input">=CHIINV(0.05;5)</item> returns 11.07.</paragraph> +<paragraph id="par_id3159142" role="paragraph" xml-lang="en-US"><item type="input">=CHIINV(0.02;5)</item> returns 13.39.</paragraph> +<paragraph id="par_id3158401" role="paragraph" xml-lang="en-US">If the probability of error is 5%, the die is not true. If the probability of error is 2%, there is no reason to believe it is fixed.</paragraph> +</section> + <section id="chisqdotinvdotrt"> - <bookmark xml-lang="en-US" branch="index" id="bm_id2948835"> - <bookmark_value>CHISQ.INV.RT function</bookmark_value> - </bookmark> - <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_CHIINV_MS" id="bm_id2948823" localize="false"/> - <paragraph xml-lang="en-US" id="hd_id2948835" role="heading" level="2" l10n="U" oldref="88">CHISQ.INV.RT</paragraph> - <paragraph xml-lang="en-US" id="par_id2949906" role="paragraph" l10n="U" oldref="89"><ahelp hid="HID_FUNC_CHIINV_MS">Returns the inverse of the one-tailed probability of the chi-squared distribution.</ahelp></paragraph> - <paragraph xml-lang="en-US" id="hd_id2959157" role="heading" level="3" l10n="U" oldref="90">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id2950504" role="code" l10n="U" oldref="91">CHISQ.INV.RT(Number; DegreesFreedom)</paragraph> - <paragraph xml-lang="en-US" id="par_id2954898" role="paragraph" l10n="U" oldref="92"><emph>Number</emph> is the value of the error probability.</paragraph> - <paragraph xml-lang="en-US" id="par_id2954294" role="paragraph" l10n="U" oldref="93"><emph>DegreesFreedom</emph> is the degrees of freedom of the experiment.</paragraph> - <paragraph xml-lang="en-US" id="hd_id2954208" role="heading" level="3" l10n="U" oldref="94">Example</paragraph> - <paragraph xml-lang="en-US" id="par_id2950777" role="paragraph" l10n="U" oldref="130">A die is thrown 1020 times. The numbers on the die 1 through 6 come up 195, 151, 148, 189, 183 and 154 times (observation values). The hypothesis that the die is not fixed is to be tested.</paragraph> - <paragraph xml-lang="en-US" id="par_id2953062" role="paragraph" l10n="U" oldref="131">The Chi square distribution of the random sample is determined by the formula given above. Since the expected value for a given number on the die for n throws is n times 1/6, thus 1020/6 = 170, the formula returns a Chi square value of 13.27.</paragraph> - <paragraph xml-lang="en-US" id="par_id2948806" role="paragraph" l10n="U" oldref="132">If the (observed) Chi square is greater than or equal to the (theoretical) Chi square CHIINV, the hypothesis will be discarded, since the deviation between theory and experiment is too great. If the observed Chi square is less that CHIINV, the hypothesis is confirmed with the indicated probability of error.</paragraph> - <paragraph xml-lang="en-US" id="par_id2949763" role="paragraph" l10n="U" oldref="95"><item type="input">=CHISQ.INV.RT(0.05;5)</item> returns 11.0704976935.</paragraph> - <paragraph xml-lang="en-US" id="par_id2959142" role="paragraph" l10n="U" oldref="133"><item type="input">=CHISQ.INV.RT(0.02;5)</item> returns 13.388222599.</paragraph> - <paragraph xml-lang="en-US" id="par_id2958401" role="paragraph" l10n="U" oldref="134">If the probability of error is 5%, the die is not true. If the probability of error is 2%, there is no reason to believe it is fixed.</paragraph> +<bookmark xml-lang="en-US" branch="index" id="bm_id2948835"> + <bookmark_value>CHISQ.INV.RT function</bookmark_value> +</bookmark> + +<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_CHIINV_MS" id="bm_id2948823" localize="false"/> + +<paragraph id="hd_id2948835" role="heading" level="2" xml-lang="en-US">CHISQ.INV.RT</paragraph> +<paragraph id="par_id2949906" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_CHIINV_MS">Returns the inverse of the one-tailed probability of the chi-squared distribution.</ahelp></paragraph> + +<paragraph id="hd_id2959157" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id2950504" role="code" xml-lang="en-US">CHISQ.INV.RT(Number; DegreesFreedom)</paragraph> +<paragraph id="par_id2954898" role="paragraph" xml-lang="en-US"><emph>Number</emph> is the value of the error probability.</paragraph> +<paragraph id="par_id2954294" role="paragraph" xml-lang="en-US"><emph>DegreesFreedom</emph> is the degrees of freedom of the experiment.</paragraph> + +<paragraph id="hd_id2954208" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id2950777" role="paragraph" xml-lang="en-US">A die is thrown 1020 times. The numbers on the die 1 through 6 come up 195, 151, 148, 189, 183 and 154 times (observation values). The hypothesis that the die is not fixed is to be tested.</paragraph> +<paragraph id="par_id2953062" role="paragraph" xml-lang="en-US">The Chi square distribution of the random sample is determined by the formula given above. Since the expected value for a given number on the die for n throws is n times 1/6, thus 1020/6 = 170, the formula returns a Chi square value of 13.27.</paragraph> +<paragraph id="par_id2948806" role="paragraph" xml-lang="en-US">If the (observed) Chi square is greater than or equal to the (theoretical) Chi square CHIINV, the hypothesis will be discarded, since the deviation between theory and experiment is too great. If the observed Chi square is less that CHIINV, the hypothesis is confirmed with the indicated probability of error.</paragraph> +<paragraph id="par_id2949763" role="paragraph" xml-lang="en-US"><item type="input">=CHISQ.INV.RT(0.05;5)</item> returns 11.0704976935.</paragraph> +<paragraph id="par_id2959142" role="paragraph" xml-lang="en-US"><item type="input">=CHISQ.INV.RT(0.02;5)</item> returns 13.388222599.</paragraph> +<paragraph id="par_id2958401" role="paragraph" xml-lang="en-US">If the probability of error is 5%, the die is not true. If the probability of error is 2%, there is no reason to believe it is fixed.</paragraph> </section> - <section id="chitest"> -<bookmark xml-lang="en-US" branch="index" id="bm_id3154260"><bookmark_value>CHITEST function</bookmark_value> + +<section id="chitest"> +<bookmark xml-lang="en-US" branch="index" id="bm_id3154260"> + <bookmark_value>CHITEST function</bookmark_value> </bookmark> + <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_CHITEST" id="bm_id3155355" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id3154260" role="heading" level="2" l10n="U" - oldref="97">CHITEST</paragraph> - <paragraph xml-lang="en-US" id="par_id3151052" role="paragraph" l10n="U" oldref="98"><ahelp hid="HID_FUNC_CHITEST">Returns the probability of a deviance from a random distribution of two test series based on the chi-squared test for independence.</ahelp> CHITEST returns the chi-squared distribution of the data.</paragraph> - <paragraph xml-lang="en-US" id="par_id3148925" role="paragraph" l10n="U" oldref="135">The probability determined by CHITEST can also be determined with CHIDIST, in which case the Chi square of the random sample must then be passed as a parameter instead of the data row.</paragraph> - <paragraph xml-lang="en-US" id="hd_id3154280" role="heading" level="3" l10n="U" - oldref="99">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id3149162" role="code" l10n="U" oldref="100">CHITEST(DataB; DataE)</paragraph> - <paragraph xml-lang="en-US" id="par_id3158421" role="paragraph" l10n="U" oldref="101"> - <emph>DataB</emph> is the array of the observations.</paragraph> - <paragraph xml-lang="en-US" id="par_id3166453" role="paragraph" l10n="U" oldref="102"> - <emph>DataE</emph> is the range of the expected values.</paragraph> - <paragraph xml-lang="en-US" id="hd_id3146946" role="heading" level="3" l10n="U" - oldref="103">Example</paragraph> - <table id="tbl_id3153233"> - <tablerow> - <tablecell> -</tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3154096" role="paragraph" l10n="U" oldref="136">Data_B (observed)</paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3152948" role="paragraph" l10n="U" oldref="137">Data_E (expected)</paragraph> - </tablecell> - </tablerow> - <tablerow> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3152876" role="paragraph" l10n="U" oldref="138">1</paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3159279" role="paragraph" l10n="U" oldref="139"> - <item type="input">195</item> - </paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3149105" role="paragraph" l10n="U" oldref="140"> - <item type="input">170</item> - </paragraph> - </tablecell> - </tablerow> - <tablerow> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3149922" role="paragraph" l10n="U" oldref="141">2</paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3148621" role="paragraph" l10n="U" oldref="142"> - <item type="input">151</item> - </paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3148987" role="paragraph" l10n="U" oldref="143"> - <item type="input">170</item> - </paragraph> - </tablecell> - </tablerow> - <tablerow> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3149417" role="paragraph" l10n="U" oldref="144">3</paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3148661" role="paragraph" l10n="U" oldref="145"> - <item type="input">148</item> - </paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3151128" role="paragraph" l10n="U" oldref="146"> - <item type="input">170</item> - </paragraph> - </tablecell> - </tablerow> - <tablerow> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3148467" role="paragraph" l10n="U" oldref="147">4</paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3149237" role="paragraph" l10n="U" oldref="148"> - <item type="input">189</item> - </paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3145304" role="paragraph" l10n="U" oldref="149"> - <item type="input">170</item> - </paragraph> - </tablecell> - </tablerow> - <tablerow> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3149927" role="paragraph" l10n="U" oldref="150">5</paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3150630" role="paragraph" l10n="U" oldref="151"> - <item type="input">183</item> - </paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3150423" role="paragraph" l10n="U" oldref="152"> - <item type="input">170</item> - </paragraph> - </tablecell> - </tablerow> - <tablerow> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3143275" role="paragraph" l10n="U" oldref="153">6</paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3144750" role="paragraph" l10n="U" oldref="154"> - <item type="input">154</item> - </paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id3153947" role="paragraph" l10n="U" oldref="155"> - <item type="input">170</item> - </paragraph> - </tablecell> - </tablerow> - </table> - - <paragraph xml-lang="en-US" id="par_id3149481" role="paragraph" l10n="U" oldref="104"> - <item type="input">=CHITEST(A1:A6;B1:B6)</item> equals 0.02. This is the probability which suffices the observed data of the theoretical Chi-square distribution.</paragraph> - </section> + +<paragraph id="hd_id3154260" role="heading" level="2" xml-lang="en-US">CHITEST</paragraph> +<paragraph id="par_id3151052" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_CHITEST">Returns the probability of a deviance from a random distribution of two test series based on the chi-squared test for independence.</ahelp> CHITEST returns the chi-squared distribution of the data.</paragraph> +<paragraph id="par_id3148925" role="paragraph" xml-lang="en-US">The probability determined by CHITEST can also be determined with CHIDIST, in which case the Chi square of the random sample must then be passed as a parameter instead of the data row.</paragraph> + +<paragraph id="hd_id3154280" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id3149162" role="code" xml-lang="en-US">CHITEST(DataB; DataE)</paragraph> +<paragraph id="par_id3158421" role="paragraph" xml-lang="en-US"><emph>DataB</emph> is the array of the observations.</paragraph> +<paragraph id="par_id3166453" role="paragraph" xml-lang="en-US"><emph>DataE</emph> is the range of the expected values.</paragraph> + +<paragraph id="hd_id3146946" role="heading" level="3" xml-lang="en-US">Example</paragraph> + +<table id="tbl_id3153233"> + <tablerow> + <tablecell> + </tablecell> + <tablecell> + <paragraph id="par_id3154096" role="paragraph" xml-lang="en-US">Data_B (observed)</paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id3152948" role="paragraph" xml-lang="en-US">Data_E (expected)</paragraph> + </tablecell> + </tablerow> + <tablerow> + <tablecell> + <paragraph id="par_id3152876" role="paragraph" xml-lang="en-US">1</paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id3159279" role="paragraph" xml-lang="en-US"><item type="input">195</item></paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id3149105" role="paragraph" xml-lang="en-US"><item type="input">170</item></paragraph> + </tablecell> + </tablerow> + <tablerow> + <tablecell> + <paragraph id="par_id3149922" role="paragraph" xml-lang="en-US">2</paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id3148621" role="paragraph" xml-lang="en-US"><item type="input">151</item></paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id3148987" role="paragraph" xml-lang="en-US"><item type="input">170</item></paragraph> + </tablecell> + </tablerow> + <tablerow> + <tablecell> + <paragraph id="par_id3149417" role="paragraph" xml-lang="en-US">3</paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id3148661" role="paragraph" xml-lang="en-US"><item type="input">148</item></paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id3151128" role="paragraph" xml-lang="en-US"><item type="input">170</item></paragraph> + </tablecell> + </tablerow> + <tablerow> + <tablecell> + <paragraph id="par_id3148467" role="paragraph" xml-lang="en-US">4</paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id3149237" role="paragraph" xml-lang="en-US"><item type="input">189</item></paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id3145304" role="paragraph" xml-lang="en-US"><item type="input">170</item></paragraph> + </tablecell> + </tablerow> + <tablerow> + <tablecell> + <paragraph id="par_id3149927" role="paragraph" xml-lang="en-US">5</paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id3150630" role="paragraph" xml-lang="en-US"><item type="input">183</item></paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id3150423" role="paragraph" xml-lang="en-US"><item type="input">170</item></paragraph> + </tablecell> + </tablerow> + <tablerow> + <tablecell> + <paragraph id="par_id3143275" role="paragraph" xml-lang="en-US">6</paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id3144750" role="paragraph" xml-lang="en-US"><item type="input">154</item></paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id3153947" role="paragraph" xml-lang="en-US"><item type="input">170</item></paragraph> + </tablecell> + </tablerow> +</table> + +<paragraph id="par_id3149481" role="paragraph" xml-lang="en-US"><item type="input">=CHITEST(A1:A6;B1:B6)</item> equals 0.02. This is the probability which suffices the observed data of the theoretical Chi-square distribution.</paragraph> +</section> + <section id="chidottest"> - <bookmark xml-lang="en-US" branch="index" id="bm_id2954260"> - <bookmark_value>CHISQ.TEST function</bookmark_value> - </bookmark> - <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_CHITEST_MS" id="bm_id2955355" localize="false"/> - <paragraph xml-lang="en-US" id="hd_id2954260" role="heading" level="2" l10n="U" oldref="97">CHISQ.TEST</paragraph> - <paragraph xml-lang="en-US" id="par_id2951052" role="paragraph" l10n="U" oldref="98"><ahelp hid="HID_FUNC_CHITEST_MS">Returns the probability of a deviance from a random distribution of two test series based on the chi-squared test for independence.</ahelp> CHISQ.TEST returns the chi-squared distribution of the data.</paragraph> - <paragraph xml-lang="en-US" id="par_id2948925" role="paragraph" l10n="U" oldref="135">The probability determined by CHISQ.TEST can also be determined with CHISQ.DIST, in which case the Chi square of the random sample must then be passed as a parameter instead of the data row.</paragraph> - <paragraph xml-lang="en-US" id="hd_id2954280" role="heading" level="3" l10n="U" oldref="99">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id2949162" role="code" l10n="U" oldref="100">CHISQ.TEST(DataB; DataE)</paragraph> - <paragraph xml-lang="en-US" id="par_id2958421" role="paragraph" l10n="U" oldref="101"><emph>DataB</emph> is the array of the observations.</paragraph> - <paragraph xml-lang="en-US" id="par_id2966453" role="paragraph" l10n="U" oldref="102"><emph>DataE</emph> is the range of the expected values.</paragraph> - <paragraph xml-lang="en-US" id="hd_id2946946" role="heading" level="3" l10n="U" oldref="103">Example</paragraph> - <table id="tbl_id2953233"> - <tablerow> - <tablecell> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2954096" role="paragraph" l10n="U" oldref="136">Data_B (observed)</paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2952948" role="paragraph" l10n="U" oldref="137">Data_E (expected)</paragraph> - </tablecell> - </tablerow> - <tablerow> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2952876" role="paragraph" l10n="U" oldref="138">1</paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2959279" role="paragraph" l10n="U" oldref="139"><item type="input">195</item></paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2949105" role="paragraph" l10n="U" oldref="140"><item type="input">170</item></paragraph> - </tablecell> - </tablerow> - <tablerow> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2949922" role="paragraph" l10n="U" oldref="141">2</paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2948621" role="paragraph" l10n="U" oldref="142"><item type="input">151</item></paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2948987" role="paragraph" l10n="U" oldref="143"><item type="input">170</item></paragraph> - </tablecell> - </tablerow> - <tablerow> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2949417" role="paragraph" l10n="U" oldref="144">3</paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2948661" role="paragraph" l10n="U" oldref="145"><item type="input">148</item></paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2951128" role="paragraph" l10n="U" oldref="146"><item type="input">170</item></paragraph> - </tablecell> - </tablerow> - <tablerow> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2948467" role="paragraph" l10n="U" oldref="147">4</paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2949237" role="paragraph" l10n="U" oldref="148"><item type="input">189</item></paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2945304" role="paragraph" l10n="U" oldref="149"><item type="input">170</item></paragraph> - </tablecell> - </tablerow> - <tablerow> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2949927" role="paragraph" l10n="U" oldref="150">5</paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2950630" role="paragraph" l10n="U" oldref="151"><item type="input">183</item></paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2950423" role="paragraph" l10n="U" oldref="152"><item type="input">170</item></paragraph> - </tablecell> - </tablerow> - <tablerow> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2943275" role="paragraph" l10n="U" oldref="153">6</paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2944750" role="paragraph" l10n="U" oldref="154"><item type="input">154</item></paragraph> - </tablecell> - <tablecell> - <paragraph xml-lang="en-US" id="par_id2953947" role="paragraph" l10n="U" oldref="155"><item type="input">170</item></paragraph> - </tablecell> - </tablerow> - </table> - <paragraph xml-lang="en-US" id="par_id2949481" role="paragraph" l10n="U" oldref="104"><item type="input">=CHISQ.TEST(A1:A6;B1:B6)</item> equals 0.0209708029. This is the probability which suffices the observed data of the theoretical Chi-square distribution.</paragraph> +<bookmark xml-lang="en-US" branch="index" id="bm_id2954260"> + <bookmark_value>CHISQ.TEST function</bookmark_value> +</bookmark> + +<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_CHITEST_MS" id="bm_id2955355" localize="false"/> + +<paragraph id="hd_id2954260" role="heading" level="2" xml-lang="en-US">CHISQ.TEST</paragraph> +<paragraph id="par_id2951052" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_CHITEST_MS">Returns the probability of a deviance from a random distribution of two test series based on the chi-squared test for independence.</ahelp> CHISQ.TEST returns the chi-squared distribution of the data.</paragraph> +<paragraph id="par_id2948925" role="paragraph" xml-lang="en-US">The probability determined by CHISQ.TEST can also be determined with CHISQ.DIST, in which case the Chi square of the random sample must then be passed as a parameter instead of the data row.</paragraph> + +<paragraph id="hd_id2954280" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id2949162" role="code" xml-lang="en-US">CHISQ.TEST(DataB; DataE)</paragraph> +<paragraph id="par_id2958421" role="paragraph" xml-lang="en-US"><emph>DataB</emph> is the array of the observations.</paragraph> +<paragraph id="par_id2966453" role="paragraph" xml-lang="en-US"><emph>DataE</emph> is the range of the expected values.</paragraph> + +<paragraph id="hd_id2946946" role="heading" level="3" xml-lang="en-US">Example</paragraph> + +<table id="tbl_id2953233"> + <tablerow> + <tablecell> + </tablecell> + <tablecell> + <paragraph id="par_id2954096" role="paragraph" xml-lang="en-US">Data_B (observed)</paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id2952948" role="paragraph" xml-lang="en-US">Data_E (expected)</paragraph> + </tablecell> + </tablerow> + <tablerow> + <tablecell> + <paragraph id="par_id2952876" role="paragraph" xml-lang="en-US">1</paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id2959279" role="paragraph" xml-lang="en-US"><item type="input">195</item></paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id2949105" role="paragraph" xml-lang="en-US"><item type="input">170</item></paragraph> + </tablecell> + </tablerow> + <tablerow> + <tablecell> + <paragraph id="par_id2949922" role="paragraph" xml-lang="en-US">2</paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id2948621" role="paragraph" xml-lang="en-US"><item type="input">151</item></paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id2948987" role="paragraph" xml-lang="en-US"><item type="input">170</item></paragraph> + </tablecell> + </tablerow> + <tablerow> + <tablecell> + <paragraph id="par_id2949417" role="paragraph" xml-lang="en-US">3</paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id2948661" role="paragraph" xml-lang="en-US"><item type="input">148</item></paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id2951128" role="paragraph" xml-lang="en-US"><item type="input">170</item></paragraph> + </tablecell> + </tablerow> + <tablerow> + <tablecell> + <paragraph id="par_id2948467" role="paragraph" xml-lang="en-US">4</paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id2949237" role="paragraph" xml-lang="en-US"><item type="input">189</item></paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id2945304" role="paragraph" xml-lang="en-US"><item type="input">170</item></paragraph> + </tablecell> + </tablerow> + <tablerow> + <tablecell> + <paragraph id="par_id2949927" role="paragraph" xml-lang="en-US">5</paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id2950630" role="paragraph" xml-lang="en-US"><item type="input">183</item></paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id2950423" role="paragraph" xml-lang="en-US"><item type="input">170</item></paragraph> + </tablecell> + </tablerow> + <tablerow> + <tablecell> + <paragraph id="par_id2943275" role="paragraph" xml-lang="en-US">6</paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id2944750" role="paragraph" xml-lang="en-US"><item type="input">154</item></paragraph> + </tablecell> + <tablecell> + <paragraph id="par_id2953947" role="paragraph" xml-lang="en-US"><item type="input">170</item></paragraph> + </tablecell> + </tablerow> +</table> + +<paragraph id="par_id2949481" role="paragraph" xml-lang="en-US"><item type="input">=CHISQ.TEST(A1:A6;B1:B6)</item> equals 0.0209708029. This is the probability which suffices the observed data of the theoretical Chi-square distribution.</paragraph> </section> - <section id="chidist"> -<bookmark xml-lang="en-US" branch="index" id="bm_id3148690"><bookmark_value>CHIDIST function</bookmark_value> + +<section id="chidist"> +<bookmark xml-lang="en-US" branch="index" id="bm_id3148690"> + <bookmark_value>CHIDIST function</bookmark_value> </bookmark> + <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_CHIVERT" id="bm_id3147521" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id3148690" role="heading" level="2" l10n="U" - oldref="106">CHIDIST</paragraph> - <paragraph xml-lang="en-US" id="par_id3156338" role="paragraph" l10n="U" oldref="156"><ahelp hid="HID_FUNC_CHIVERT">Returns the probability value from the indicated Chi square that a hypothesis is confirmed.</ahelp> CHIDIST compares the Chi square value to be given for a random sample that is calculated from the sum of (observed value-expected value)^2/expected value for all values with the theoretical Chi square distribution and determines from this the probability of error for the hypothesis to be tested.</paragraph> - <paragraph xml-lang="en-US" id="par_id3151316" role="paragraph" l10n="U" oldref="157">The probability determined by CHIDIST can also be determined by CHITEST.</paragraph> - <paragraph xml-lang="en-US" id="hd_id3155123" role="heading" level="3" l10n="U" - oldref="108">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id3158439" role="code" l10n="U" oldref="109">CHIDIST(Number; DegreesFreedom)</paragraph> - <paragraph xml-lang="en-US" id="par_id3148675" role="paragraph" l10n="U" oldref="110"> - <emph>Number</emph> is the chi-square value of the random sample used to determine the error probability.</paragraph> - <paragraph xml-lang="en-US" id="par_id3155615" role="paragraph" l10n="U" oldref="111"> - <emph>DegreesFreedom</emph> are the degrees of freedom of the experiment.</paragraph> - <paragraph xml-lang="en-US" id="hd_id3146787" role="heading" level="3" l10n="U" - oldref="112">Example</paragraph> - <paragraph xml-lang="en-US" id="par_id3145774" role="paragraph" l10n="U" oldref="113"> - <item type="input">=CHIDIST(13.27; 5)</item> equals 0.02.</paragraph> - <paragraph xml-lang="en-US" id="par_id3156141" role="paragraph" l10n="U" oldref="158">If the Chi square value of the random sample is 13.27 and if the experiment has 5 degrees of freedom, then the hypothesis is assured with a probability of error of 2%.</paragraph> - </section> + +<paragraph id="hd_id3148690" role="heading" level="2" xml-lang="en-US">CHIDIST</paragraph> +<paragraph id="par_id3156338" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_CHIVERT">Returns the probability value from the indicated Chi square that a hypothesis is confirmed.</ahelp> CHIDIST compares the Chi square value to be given for a random sample that is calculated from the sum of (observed value-expected value)^2/expected value for all values with the theoretical Chi square distribution and determines from this the probability of error for the hypothesis to be tested.</paragraph> +<paragraph id="par_id3151316" role="paragraph" xml-lang="en-US">The probability determined by CHIDIST can also be determined by CHITEST.</paragraph> + +<paragraph id="hd_id3155123" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id3158439" role="code" xml-lang="en-US">CHIDIST(Number; DegreesFreedom)</paragraph> +<paragraph id="par_id3148675" role="paragraph" xml-lang="en-US"><emph>Number</emph> is the chi-square value of the random sample used to determine the error probability.</paragraph> +<paragraph id="par_id3155615" role="paragraph" xml-lang="en-US"><emph>DegreesFreedom</emph> are the degrees of freedom of the experiment.</paragraph> + +<paragraph id="hd_id3146787" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id3145774" role="paragraph" xml-lang="en-US"><item type="input">=CHIDIST(13.27; 5)</item> equals 0.02.</paragraph> +<paragraph id="par_id3156141" role="paragraph" xml-lang="en-US">If the Chi square value of the random sample is 13.27 and if the experiment has 5 degrees of freedom, then the hypothesis is assured with a probability of error of 2%.</paragraph> +</section> + <section id="chisqdotdist"> - <bookmark xml-lang="en-US" branch="index" id="bm_id2848690"> - <bookmark_value>CHISQ.DIST function</bookmark_value> - </bookmark> - <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_CHISQDIST_MS" id="bm_id2947521" localize="false"/> - <paragraph xml-lang="en-US" id="hd_id2848690" role="heading" level="2" l10n="U" oldref="106">CHISQ.DIST</paragraph> - <paragraph xml-lang="en-US" id="par_id2856338" role="paragraph" l10n="U" oldref="156"><ahelp hid="HID_FUNC_CHISQDIST_MS">Returns the probability density function or the cumulative distribution function for the chi-square distribution.</ahelp></paragraph> - <paragraph xml-lang="en-US" id="hd_id2855123" role="heading" level="3" l10n="U" oldref="108">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id2858439" role="code" l10n="U" oldref="109">CHISQ.DIST(Number; DegreesFreedom; Cumulative)</paragraph> - <paragraph xml-lang="en-US" id="par_id2848675" role="paragraph" l10n="U" oldref="110"><emph>Number</emph> is the chi-square value of the random sample used to determine the error probability.</paragraph> - <paragraph xml-lang="en-US" id="par_id2855615" role="paragraph" l10n="U" oldref="111"><emph>DegreesFreedom</emph> are the degrees of freedom of the experiment.</paragraph> - <paragraph xml-lang="en-US" id="par_id282020091254453" role="paragraph" l10n="NEW"><emph>Cumulative</emph> can be 0 or False to calculate the probability density function. It can be any other value or True to calculate the cumulative distribution function.</paragraph> - <paragraph xml-lang="en-US" id="hd_id2846787" role="heading" level="3" l10n="U" oldref="112">Example</paragraph> - <paragraph xml-lang="en-US" id="par_id2845774" role="paragraph" l10n="U" oldref="113"><item type="input">=CHISQ.DIST(3; 2; 0) </item> equals 0.1115650801, the probability density function with 2 degrees of freedom, at x = 3.</paragraph> - <paragraph xml-lang="en-US" id="par_id2745774" role="paragraph" l10n="U" oldref="113"><item type="input">=CHISQ.DIST(3; 2; 1) </item> equals 0.7768698399, the cumulative chi-square distribution with 2 degrees of freedom, at the value x = 3</paragraph> +<bookmark xml-lang="en-US" branch="index" id="bm_id2848690"> + <bookmark_value>CHISQ.DIST function</bookmark_value> +</bookmark> + +<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_CHISQDIST_MS" id="bm_id2947521" localize="false"/> + +<paragraph id="hd_id2848690" role="heading" level="2" xml-lang="en-US">CHISQ.DIST</paragraph> +<paragraph id="par_id2856338" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_CHISQDIST_MS">Returns the probability density function or the cumulative distribution function for the chi-square distribution.</ahelp></paragraph> + +<paragraph id="hd_id2855123" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id2858439" role="code" xml-lang="en-US">CHISQ.DIST(Number; DegreesFreedom; Cumulative)</paragraph> +<paragraph id="par_id2848675" role="paragraph" xml-lang="en-US"><emph>Number</emph> is the chi-square value of the random sample used to determine the error probability.</paragraph> +<paragraph id="par_id2855615" role="paragraph" xml-lang="en-US"><emph>DegreesFreedom</emph> are the degrees of freedom of the experiment.</paragraph> +<paragraph id="par_id282020091254453" role="paragraph" xml-lang="en-US"><emph>Cumulative</emph> can be 0 or False to calculate the probability density function. It can be any other value or True to calculate the cumulative distribution function.</paragraph> + +<paragraph id="hd_id2846787" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id2845774" role="paragraph" xml-lang="en-US"><item type="input">=CHISQ.DIST(3; 2; 0) </item>equals 0.1115650801, the probability density function with 2 degrees of freedom, at x = 3.</paragraph> +<paragraph id="par_id2745774" role="paragraph" xml-lang="en-US"><item type="input">=CHISQ.DIST(3; 2; 1) </item>equals 0.7768698399, the cumulative chi-square distribution with 2 degrees of freedom, at the value x = 3</paragraph> </section> + <section id="chisqdotdistdotrt"> - <bookmark xml-lang="en-US" branch="index" id="bm_id2948690"> - <bookmark_value>CHISQ.DIST.RT function</bookmark_value> - </bookmark> - <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_CHIVERT_MS" id="bm_id2947521" localize="false"/> - <paragraph xml-lang="en-US" id="hd_id2948690" role="heading" level="2" l10n="U" oldref="106">CHISQ.DIST.RT</paragraph> - <paragraph xml-lang="en-US" id="par_id2956338" role="paragraph" l10n="U" oldref="156"><ahelp hid="HID_FUNC_CHIVERT_MS">Returns the probability value from the indicated Chi square that a hypothesis is confirmed.</ahelp> CHISQ.DIST.RT compares the Chi square value to be given for a random sample that is calculated from the sum of (observed value-expected value)^2/expected value for all values with the theoretical Chi square distribution and determines from this the probability of error for the hypothesis to be tested.</paragraph> - <paragraph xml-lang="en-US" id="par_id2951316" role="paragraph" l10n="U" oldref="157">The probability determined by CHISQ.DIST.RT can also be determined by CHITEST.</paragraph> - <paragraph xml-lang="en-US" id="hd_id2955123" role="heading" level="3" l10n="U" oldref="108">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id2958439" role="code" l10n="U" oldref="109">CHISQ.DIST.RT(Number; DegreesFreedom)</paragraph> - <paragraph xml-lang="en-US" id="par_id2948675" role="paragraph" l10n="U" oldref="110"><emph>Number</emph> is the chi-square value of the random sample used to determine the error probability.</paragraph> - <paragraph xml-lang="en-US" id="par_id2955615" role="paragraph" l10n="U" oldref="111"><emph>DegreesFreedom</emph> are the degrees of freedom of the experiment.</paragraph> - <paragraph xml-lang="en-US" id="hd_id2946787" role="heading" level="3" l10n="U" oldref="112">Example</paragraph> - <paragraph xml-lang="en-US" id="par_id2945774" role="paragraph" l10n="U" oldref="113"><item type="input">=CHISQ.DIST.RT(13.27; 5)</item> equals 0.0209757694.</paragraph> - <paragraph xml-lang="en-US" id="par_id2956141" role="paragraph" l10n="U" oldref="158">If the Chi square value of the random sample is 13.27 and if the experiment has 5 degrees of freedom, then the hypothesis is assured with a probability of error of 2%.</paragraph> +<bookmark xml-lang="en-US" branch="index" id="bm_id2948690"> + <bookmark_value>CHISQ.DIST.RT function</bookmark_value> +</bookmark> + +<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_CHIVERT_MS" id="bm_id2947521" localize="false"/> + +<paragraph id="hd_id2948690" role="heading" level="2" xml-lang="en-US">CHISQ.DIST.RT</paragraph> +<paragraph id="par_id2956338" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_CHIVERT_MS">Returns the probability value from the indicated Chi square that a hypothesis is confirmed.</ahelp> CHISQ.DIST.RT compares the Chi square value to be given for a random sample that is calculated from the sum of (observed value-expected value)^2/expected value for all values with the theoretical Chi square distribution and determines from this the probability of error for the hypothesis to be tested.</paragraph> +<paragraph id="par_id2951316" role="paragraph" xml-lang="en-US">The probability determined by CHISQ.DIST.RT can also be determined by CHITEST.</paragraph> + +<paragraph id="hd_id2955123" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id2958439" role="code" xml-lang="en-US">CHISQ.DIST.RT(Number; DegreesFreedom)</paragraph> +<paragraph id="par_id2948675" role="paragraph" xml-lang="en-US"><emph>Number</emph> is the chi-square value of the random sample used to determine the error probability.</paragraph> +<paragraph id="par_id2955615" role="paragraph" xml-lang="en-US"><emph>DegreesFreedom</emph> are the degrees of freedom of the experiment.</paragraph> + +<paragraph id="hd_id2946787" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id2945774" role="paragraph" xml-lang="en-US"><item type="input">=CHISQ.DIST.RT(13.27; 5)</item> equals 0.0209757694.</paragraph> +<paragraph id="par_id2956141" role="paragraph" xml-lang="en-US">If the Chi square value of the random sample is 13.27 and if the experiment has 5 degrees of freedom, then the hypothesis is assured with a probability of error of 2%.</paragraph> </section> - <section id="chisqdist"> + +<section id="chisqdist"> <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_CHISQDIST" id="bm_id0119200902213671" localize="false"/> -<bookmark xml-lang="en-US" branch="index" id="bm_id0119200902231887"><bookmark_value>CHISQDIST function</bookmark_value> -<bookmark_value>chi-square distribution</bookmark_value> +<bookmark xml-lang="en-US" branch="index" id="bm_id0119200902231887"> + <bookmark_value>CHISQDIST function</bookmark_value> + <bookmark_value>chi-square distribution</bookmark_value> </bookmark> -<paragraph xml-lang="en-US" id="hd_id0119200901583452" role="heading" level="2" l10n="NEW">CHISQDIST</paragraph> - <paragraph xml-lang="en-US" id="par_id0119200901583471" role="paragraph" l10n="NEW"><ahelp hid=".">Returns the value of the probability density function or the cumulative distribution function for the chi-square distribution.</ahelp></paragraph> - <paragraph xml-lang="en-US" id="hd_id0119200902395520" role="heading" level="3" l10n="NEW">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id0119200902395679" role="code" l10n="NEW">CHISQDIST(Number; Degrees Of Freedom; Cumulative)</paragraph> - <paragraph xml-lang="en-US" id="par_id011920090239564" role="paragraph" l10n="NEW"> - <emph>Number</emph> is the number for which the function is to be calculated.</paragraph> - <paragraph xml-lang="en-US" id="par_id0119200902395660" role="paragraph" l10n="NEW"> - <emph>Degrees Of Freedom</emph> is the degrees of freedom for the chi-square function.</paragraph> - <paragraph xml-lang="en-US" id="par_id0119200902395623" role="paragraph" l10n="NEW"> - <emph>Cumulative</emph> (optional): 0 or False calculates the probability density function. Other values or True or omitted calculates the cumulative distribution function.</paragraph> - </section> - <section id="expondist"> -<bookmark xml-lang="en-US" branch="index" id="bm_id3150603"><bookmark_value>EXPONDIST function</bookmark_value> - <bookmark_value>exponential distributions</bookmark_value> + + +<paragraph id="hd_id0119200901583452" role="heading" level="2" xml-lang="en-US">CHISQDIST</paragraph> +<paragraph id="par_id0119200901583471" role="paragraph" xml-lang="en-US"><ahelp hid=".">Returns the value of the probability density function or the cumulative distribution function for the chi-square distribution.</ahelp></paragraph> + +<paragraph id="hd_id0119200902395520" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id0119200902395679" role="code" xml-lang="en-US">CHISQDIST(Number; Degrees Of Freedom; Cumulative)</paragraph> +<paragraph id="par_id011920090239564" role="paragraph" xml-lang="en-US"><emph>Number</emph> is the number for which the function is to be calculated.</paragraph> +<paragraph id="par_id0119200902395660" role="paragraph" xml-lang="en-US"><emph>Degrees Of Freedom</emph> is the degrees of freedom for the chi-square function.</paragraph> +<paragraph id="par_id0119200902395623" role="paragraph" xml-lang="en-US"><emph>Cumulative</emph> (optional): 0 or False calculates the probability density function. Other values or True or omitted calculates the cumulative distribution function.</paragraph> +</section> + +<section id="expondist"> +<bookmark xml-lang="en-US" branch="index" id="bm_id3150603"> + <bookmark_value>EXPONDIST function</bookmark_value> + <bookmark_value>exponential distributions</bookmark_value> </bookmark> + <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_EXPONVERT" id="bm_id3152962" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id3150603" role="heading" level="2" l10n="U" - oldref="115">EXPONDIST</paragraph> - <paragraph xml-lang="en-US" id="par_id3149563" role="paragraph" l10n="U" oldref="116"><ahelp hid="HID_FUNC_EXPONVERT">Returns the exponential distribution.</ahelp></paragraph> - <paragraph xml-lang="en-US" id="hd_id3153789" role="heading" level="3" l10n="U" - oldref="117">Syntax</paragraph> - <paragraph xml-lang="en-US" id="par_id3150987" role="code" l10n="U" oldref="118">EXPONDIST(Number; Lambda; C)</paragraph> - <paragraph xml-lang="en-US" id="par_id3154663" role="paragraph" l10n="U" oldref="119"> - <emph>Number</emph> is the value of the function.</paragraph> - <paragraph xml-lang="en-US" id="par_id3154569" role="paragraph" l10n="U" oldref="120"> - <emph>Lambda</emph> is the parameter value.</paragraph><comment>UFI removed a double bookmark</comment> -<paragraph xml-lang="en-US" id="par_id3147332" role="paragraph" l10n="U" oldref="121"> - <emph>C</emph> is a logical value that determines the form of the function. <emph>C = 0</emph> calculates the density function, and <emph>C = 1</emph> calculates the distribution.</paragraph> - <paragraph xml-lang="en-US" id="hd_id3146133" role="heading" level="3" l10n="U" - oldref="122">Example</paragraph> - <paragraph xml-lang="en-US" id="par_id3150357" role="paragraph" l10n="U" oldref="123"> - <item type="input">=EXPONDIST(3;0.5;1)</item> returns 0.78.</paragraph> - </section> + +<paragraph id="hd_id3150603" role="heading" level="2" xml-lang="en-US">EXPONDIST</paragraph> +<paragraph id="par_id3149563" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_EXPONVERT">Returns the exponential distribution.</ahelp></paragraph> + +<paragraph id="hd_id3153789" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id3150987" role="code" xml-lang="en-US">EXPONDIST(Number; Lambda; C)</paragraph> +<paragraph id="par_id3154663" role="paragraph" xml-lang="en-US"><emph>Number</emph> is the value of the function.</paragraph> +<paragraph id="par_id3154569" role="paragraph" xml-lang="en-US"><emph>Lambda</emph> is the parameter value.</paragraph><comment>UFI removed a double bookmark</comment> +<paragraph id="par_id3147332" role="paragraph" xml-lang="en-US"><emph>C</emph> is a logical value that determines the form of the function. <emph>C = 0</emph> calculates the density function, and <emph>C = 1</emph> calculates the distribution.</paragraph> + +<paragraph id="hd_id3146133" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id3150357" role="paragraph" xml-lang="en-US"><item type="input">=EXPONDIST(3;0.5;1)</item> returns 0.78.</paragraph> +</section> + <section id="expondotdist"> <bookmark xml-lang="en-US" branch="index" id="bm_id2950603"> - <bookmark_value>EXPON.DIST function</bookmark_value> - <bookmark_value>exponential distributions</bookmark_value> + <bookmark_value>EXPON.DIST function</bookmark_value> + <bookmark_value>exponential distributions</bookmark_value> </bookmark> + <bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_EXP_DIST_MS" id="bm_id2952962" localize="false"/> -<paragraph xml-lang="en-US" id="hd_id2950603" role="heading" level="2" l10n="U" oldref="115">EXPON.DIST</paragraph> -<paragraph xml-lang="en-US" id="par_id2949563" role="paragraph" l10n="U" oldref="116"><ahelp hid="HID_FUNC_EXP_DIST_MS">Returns the exponential distribution.</ahelp></paragraph> -<paragraph xml-lang="en-US" id="hd_id2953789" role="heading" level="3" l10n="U" oldref="117">Syntax</paragraph> -<paragraph xml-lang="en-US" id="par_id2950987" role="code" l10n="U" oldref="118">EXPON.DIST(Number; Lambda; C)</paragraph> -<paragraph xml-lang="en-US" id="par_id2954663" role="paragraph" l10n="U" oldref="119"><emph>Number</emph> is the value of the function.</paragraph> -<paragraph xml-lang="en-US" id="par_id2954569" role="paragraph" l10n="U" oldref="120"><emph>Lambda</emph> is the parameter value.</paragraph><comment>UFI removed a double bookmark</comment> -<paragraph xml-lang="en-US" id="par_id2947332" role="paragraph" l10n="U" oldref="121"><emph>C</emph> is a logical value that determines the form of the function. <emph>C = 0</emph> calculates the density function, and <emph>C = 1</emph> calculates the distribution.</paragraph> -<paragraph xml-lang="en-US" id="hd_id2946133" role="heading" level="3" l10n="U" oldref="122">Example</paragraph> -<paragraph xml-lang="en-US" id="par_id2950357" role="paragraph" l10n="U" oldref="123"><item type="input">=EXPON.DIST(3;0.5;1)</item> returns 0.7768698399.</paragraph> + +<paragraph id="hd_id2950603" role="heading" level="2" xml-lang="en-US">EXPON.DIST</paragraph> +<paragraph id="par_id2949563" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_EXP_DIST_MS">Returns the exponential distribution.</ahelp></paragraph> + +<paragraph id="hd_id2953789" role="heading" level="3" xml-lang="en-US">Syntax</paragraph> +<paragraph id="par_id2950987" role="code" xml-lang="en-US">EXPON.DIST(Number; Lambda; C)</paragraph> +<paragraph id="par_id2954663" role="paragraph" xml-lang="en-US"><emph>Number</emph> is the value of the function.</paragraph> +<paragraph id="par_id2954569" role="paragraph" xml-lang="en-US"><emph>Lambda</emph> is the parameter value.</paragraph><comment>UFI removed a double bookmark</comment> +<paragraph id="par_id2947332" role="paragraph" xml-lang="en-US"><emph>C</emph> is a logical value that determines the form of the function. <emph>C = 0</emph> calculates the density function, and <emph>C = 1</emph> calculates the distribution.</paragraph> + +<paragraph id="hd_id2946133" role="heading" level="3" xml-lang="en-US">Example</paragraph> +<paragraph id="par_id2950357" role="paragraph" xml-lang="en-US"><item type="input">=EXPON.DIST(3;0.5;1)</item> returns 0.7768698399.</paragraph> </section> </sort> + <section id="relatedtopics"> - <embed href="text/scalc/01/04060100.xhp#drking"/> - </section> - </body> -</helpdocument> +<embed href="text/scalc/01/04060100.xhp#drking"/> +</section> +</body> + +</helpdocument>
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