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authorDennis Roczek <dennisroczek@libreoffice.org>2015-08-15 21:05:54 +0200
committerJoren De Cuyper <jorendc@libreoffice.org>2015-08-16 11:53:08 +0000
commitfe274b4db7f99e7cb50939a98653c09c8e60a83a (patch)
tree5cd4248676ca418625ad7a73abe0ea0ee63f787e /source
parentbbece63b0f7b182f8bbf36accef29bb7a42e7800 (diff)
fix emph for ANOVA
Change-Id: Iabe27d3d7f45518ab14d81ed7a01903c20843b82 Reviewed-on: https://gerrit.libreoffice.org/17777 Reviewed-by: Joren De Cuyper <jorendc@libreoffice.org> Tested-by: Joren De Cuyper <jorendc@libreoffice.org>
Diffstat (limited to 'source')
-rw-r--r--source/text/scalc/01/statistics.xhp2
1 files changed, 1 insertions, 1 deletions
diff --git a/source/text/scalc/01/statistics.xhp b/source/text/scalc/01/statistics.xhp
index 074164e6b1..3ce9fd8a69 100644
--- a/source/text/scalc/01/statistics.xhp
+++ b/source/text/scalc/01/statistics.xhp
@@ -468,7 +468,7 @@
<section id="howtoget">
<paragraph id="par_id1001250" role="paragraph" xml-lang="en-US"><variable id="sam01">Menu <emph>Data - Statistics - Analysis of Variance (ANOVA)...</emph></variable></paragraph>
</section>
-<paragraph id="par_id1001260" role="paragraph" xml-lang="en-US">ANOVA is the acronym for A<emph>N</emph>alysis <emph>O</emph>f <emph>VA</emph>riance. Produces the analysis of variance (ANOVA) of a given data set</paragraph>
+<paragraph id="par_id1001260" role="paragraph" xml-lang="en-US">ANOVA is the acronym for <emph>AN</emph>alysis <emph>O</emph>f <emph>VA</emph>riance. Produces the analysis of variance (ANOVA) of a given data set</paragraph>
<paragraph id="par_id1001270" role="note" xml-lang="en-US">For more information, please visit the Wikipedia: <link href="http://en.wikipedia.org/wiki/ANOVA">http://en.wikipedia.org/wiki/ANOVA</link></paragraph><embed href="text/scalc/01/stat_data.xhp#data"/><embed href="text/scalc/01/stat_data.xhp#grouped"/>
<paragraph id="hd_id1000070" role="heading" xml-lang="en-US" level="3">Type</paragraph>
<paragraph id="par_id1001280" role="paragraph" xml-lang="en-US">Select if the analysis is for a <emph>single factor</emph> or for <emph>two factor</emph> ANOVA.</paragraph>