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<meta>
<topic id="textscalc0104060182xml" indexer="include">
<title xml-lang="en-US" id="tit">Statistical Functions Part Two</title>
<filename>/text/scalc/01/04060182.xhp</filename>
</topic>
</meta>
<body>
<h1 id="hd_id3154372"><variable id="fh"><link href="text/scalc/01/04060182.xhp" name="Statistical Functions Part Two">Statistical Functions Part Two</link>
</variable></h1>
<sort order="asc">
<section id="finv">
<bookmark xml-lang="en-US" branch="index" id="bm_id3145388"><bookmark_value>FINV function</bookmark_value>
<bookmark_value>inverse F probability distribution</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FINV" id="bm_id3146113" localize="false"/>
<h2 id="hd_id3145388">FINV</h2>
<paragraph xml-lang="en-US" id="par_id3155089" role="paragraph"><ahelp hid="HID_FUNC_FINV">Returns the inverse of the F probability distribution.</ahelp> The F distribution is used for F tests in order to set the relation between two differing data sets.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id3153068" role="code">FINV(Number; DegreesFreedom1; DegreesFreedom2)</paragraph>
<paragraph xml-lang="en-US" id="par_id3146866" role="paragraph">
<emph>Number</emph> is probability value for which the inverse F distribution is to be calculated.</paragraph>
<paragraph xml-lang="en-US" id="par_id3153914" role="paragraph">
<emph>DegreesFreedom1</emph> is the number of degrees of freedom in the numerator of the F distribution.</paragraph>
<paragraph xml-lang="en-US" id="par_id3148607" role="paragraph">
<emph>DegreesFreedom2</emph> is the number of degrees of freedom in the denominator of the F distribution.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id3145073" role="paragraph">
<item type="input">=FINV(0.5;5;10)</item> yields 0.93.</paragraph>
</section>
<section id="fdotinv">
<bookmark xml-lang="en-US" branch="index" id="bm_id2945388">
<bookmark_value>F.INV function</bookmark_value>
<bookmark_value>Values of the inverse left tail of the F distribution</bookmark_value>
</bookmark>
<comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_F_INV_LT" id="bm_id2946113" localize="false"/>
<h2 id="hd_id2945388">F.INV</h2>
<paragraph xml-lang="en-US" id="par_id2955089" role="paragraph"><ahelp hid="HID_FUNC_F_INV_LT">Returns the inverse of the cumulative F distribution.</ahelp> The F distribution is used for F tests in order to set the relation between two differing data sets.</paragraph>
<embed href="text/scalc/00/avail_release.xhp#4.2"/>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id2953068" role="code">F.INV(Number; DegreesFreedom1; DegreesFreedom2)</paragraph>
<paragraph xml-lang="en-US" id="par_id2946866" role="paragraph"><emph>Number</emph> is probability value for which the inverse F distribution is to be calculated.</paragraph>
<paragraph xml-lang="en-US" id="par_id2953914" role="paragraph"><emph>DegreesFreedom1</emph> is the number of degrees of freedom in the numerator of the F distribution.</paragraph>
<paragraph xml-lang="en-US" id="par_id2948607" role="paragraph"><emph>DegreesFreedom2</emph> is the number of degrees of freedom in the denominator of the F distribution.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id2945073" role="paragraph"><item type="input">=F.INV(0.5;5;10)</item> yields 0.9319331609.</paragraph>
</section>
<section id="fdotinvdotrt">
<bookmark xml-lang="en-US" branch="index" id="bm_id2845388">
<bookmark_value>F.INV.RT function</bookmark_value>
<bookmark_value>Values of the inverse right tail of the F distribution</bookmark_value>
</bookmark>
<comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_F_INV_RT" id="bm_id2846113" localize="false"/>
<h2 id="hd_id2845388">F.INV.RT</h2>
<paragraph xml-lang="en-US" id="par_id2855089" role="paragraph"><ahelp hid="HID_FUNC_F_INV_RT">Returns the inverse right tail of the F distribution.</ahelp></paragraph>
<embed href="text/scalc/00/avail_release.xhp#4.2"/>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id2853068" role="code">F.INV.RT(Number; DegreesFreedom1; DegreesFreedom2)</paragraph>
<paragraph xml-lang="en-US" id="par_id2846866" role="paragraph"><emph>Number</emph> is probability value for which the inverse F distribution is to be calculated.</paragraph>
<paragraph xml-lang="en-US" id="par_id2853914" role="paragraph"><emph>DegreesFreedom1</emph> is the number of degrees of freedom in the numerator of the F distribution.</paragraph>
<paragraph xml-lang="en-US" id="par_id2848607" role="paragraph"><emph>DegreesFreedom2</emph> is the number of degrees of freedom in the denominator of the F distribution.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id2845073" role="paragraph"><item type="input">=F.INV.RT(0.5;5;10)</item> yields 0.9319331609.</paragraph>
</section>
<section id="fisher">
<bookmark xml-lang="en-US" branch="index" id="bm_id3150888"><bookmark_value>FISHER function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FISHER" id="bm_id3146782" localize="false"/>
<h2 id="hd_id3150888">FISHER</h2>
<paragraph xml-lang="en-US" id="par_id3155384" role="paragraph"><ahelp hid="HID_FUNC_FISHER">Returns the Fisher transformation for x and creates a function close to a normal distribution.</ahelp></paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id3143220" role="code">FISHER(Number)</paragraph>
<paragraph xml-lang="en-US" id="par_id3159228" role="paragraph">
<emph>Number</emph> is the value to be transformed.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id3149383" role="paragraph">
<item type="input">=FISHER(0.5)</item> yields 0.55.</paragraph>
</section>
<section id="fisherinv">
<bookmark xml-lang="en-US" branch="index" id="bm_id3155758"><bookmark_value>FISHERINV function</bookmark_value>
<bookmark_value>inverse of Fisher transformation</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FISHERINV" id="bm_id3149317" localize="false"/>
<h2 id="hd_id3155758">FISHERINV</h2>
<paragraph xml-lang="en-US" id="par_id3154734" role="paragraph"><ahelp hid="HID_FUNC_FISHERINV">Returns the inverse of the Fisher transformation for x and creates a function close to a normal distribution.</ahelp></paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id3146108" role="code">FISHERINV(Number)</paragraph>
<paragraph xml-lang="en-US" id="par_id3145115" role="paragraph">
<emph>Number</emph> is the value that is to undergo reverse-transformation.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id3150432" role="paragraph">
<item type="input">=FISHERINV(0.5)</item> yields 0.46.</paragraph>
</section>
<section id="ftest">
<bookmark xml-lang="en-US" branch="index" id="bm_id3151390"><bookmark_value>FTEST function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FTEST" id="bm_id3159263" localize="false"/>
<h2 id="hd_id3151390">FTEST</h2>
<paragraph xml-lang="en-US" id="par_id3150534" role="paragraph"><ahelp hid="HID_FUNC_FTEST">Returns the result of an F test.</ahelp></paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id3153024" role="code">FTEST(Data1; Data2)</paragraph>
<paragraph xml-lang="en-US" id="par_id3150032" role="paragraph">
<emph>Data1</emph> is the first record array.</paragraph>
<paragraph xml-lang="en-US" id="par_id3153018" role="paragraph">
<emph>Data2</emph> is the second record array.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id3159126" role="paragraph">
<item type="input">=FTEST(A1:A30;B1:B12)</item> calculates whether the two data sets are different in their variance and returns the probability that both sets could have come from the same total population.</paragraph>
</section>
<section id="fdottest">
<bookmark xml-lang="en-US" branch="index" id="bm_id2951390">
<bookmark_value>F.TEST function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_F_TEST_MS" id="bm_id2959263" localize="false"/>
<h2 id="hd_id2951390">F.TEST</h2>
<paragraph xml-lang="en-US" id="par_id2950534" role="paragraph"><ahelp hid="HID_FUNC_F_TEST_MS">Returns the result of an F test.</ahelp></paragraph>
<embed href="text/scalc/00/avail_release.xhp#4.2"/>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id2953024" role="code">F.TEST(Data1; Data2)</paragraph>
<paragraph xml-lang="en-US" id="par_id2950032" role="paragraph"><emph>Data1</emph> is the first record array.</paragraph>
<paragraph xml-lang="en-US" id="par_id2953018" role="paragraph"><emph>Data2</emph> is the second record array.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id2959126" role="paragraph"><item type="input">=F.TEST(A1:A30;B1:B12)</item> calculates whether the two data sets are different in their variance and returns the probability that both sets could have come from the same total population.</paragraph>
</section>
<section id="fdist">
<bookmark xml-lang="en-US" branch="index" id="bm_id3150372"><bookmark_value>FDIST function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FVERT" id="bm_id3149722" localize="false"/>
<h2 id="hd_id3150372">FDIST</h2>
<paragraph xml-lang="en-US" id="par_id3152981" role="paragraph"><ahelp hid="HID_FUNC_FVERT">Calculates the values of an F distribution.</ahelp></paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id3145826" role="code">FDIST(Number; DegreesFreedom1; DegreesFreedom2)</paragraph>
<paragraph xml-lang="en-US" id="par_id3150461" role="paragraph">
<emph>Number</emph> is the value for which the F distribution is to be calculated.</paragraph>
<paragraph xml-lang="en-US" id="par_id3150029" role="paragraph">
<emph>degreesFreedom1</emph> is the degrees of freedom in the numerator in the F distribution.</paragraph>
<paragraph xml-lang="en-US" id="par_id3146877" role="paragraph">
<emph>degreesFreedom2</emph> is the degrees of freedom in the denominator in the F distribution.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id3150696" role="paragraph">
<item type="input">=FDIST(0.8;8;12)</item> yields 0.61.</paragraph>
</section>
<section id="fdotdist">
<bookmark xml-lang="en-US" branch="index" id="bm_id2950372">
<bookmark_value>F.DIST function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_F_DIST_LT" id="bm_id2949722" localize="false"/>
<h2 id="hd_id2950372">F.DIST</h2>
<paragraph xml-lang="en-US" id="par_id2952981" role="paragraph"><ahelp hid="HID_FUNC_F_DIST_LT">Calculates the values of the left tail of the F distribution.</ahelp></paragraph>
<embed href="text/scalc/00/avail_release.xhp#4.2"/>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id2945826" role="code">F.DIST(Number; DegreesFreedom1; DegreesFreedom2; Cumulative)</paragraph>
<paragraph xml-lang="en-US" id="par_id2950461" role="paragraph"><emph>Number</emph> is the value for which the F distribution is to be calculated.</paragraph>
<paragraph xml-lang="en-US" id="par_id2950029" role="paragraph"><emph>degreesFreedom1</emph> is the degrees of freedom in the numerator in the F distribution.</paragraph>
<paragraph xml-lang="en-US" id="par_id2946877" role="paragraph"><emph>degreesFreedom2</emph> is the degrees of freedom in the denominator in the F distribution.</paragraph>
<paragraph xml-lang="en-US" id="par_id2946878" role="paragraph"><emph>Cumulative</emph> = 0 or False calculates the density function <emph>Cumulative</emph> = 1 or True calculates the distribution.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id2950696" role="paragraph"><item type="input">=F.DIST(0.8;8;12;0)</item> yields 0.7095282499.</paragraph>
<paragraph xml-lang="en-US" id="par_id2950697" role="paragraph"><item type="input">=F.DIST(0.8;8;12;1)</item> yields 0.3856603563.</paragraph>
</section>
<section id="fdotdistdotrt">
<bookmark xml-lang="en-US" branch="index" id="bm_id2850372">
<bookmark_value>F.DIST.RT function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_F_DIST_RT" id="bm_id289722" localize="false"/>
<h2 id="hd_id280372">F.DIST.RT</h2>
<paragraph xml-lang="en-US" id="par_id2852981" role="paragraph"><ahelp hid="HID_FUNC_F_DIST_RT">Calculates the values of the right tail of the F distribution.</ahelp></paragraph>
<embed href="text/scalc/00/avail_release.xhp#4.2"/>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id2845826" role="code">F.DIST.RT(Number; DegreesFreedom1; DegreesFreedom2)</paragraph>
<paragraph xml-lang="en-US" id="par_id2850461" role="paragraph"><emph>Number</emph> is the value for which the F distribution is to be calculated.</paragraph>
<paragraph xml-lang="en-US" id="par_id2850029" role="paragraph"><emph>degreesFreedom1</emph> is the degrees of freedom in the numerator in the F distribution.</paragraph>
<paragraph xml-lang="en-US" id="par_id2846877" role="paragraph"><emph>degreesFreedom2</emph> is the degrees of freedom in the denominator in the F distribution.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id2850696" role="paragraph"><item type="input">=F.DIST.RT(0.8;8;12)</item> yields 0.6143396437.</paragraph>
</section>
<section id="gamma">
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMA" id="bm_id0119200903221254" localize="false"/>
<bookmark xml-lang="en-US" branch="index" id="bm_id0119200903223192"><bookmark_value>GAMMA function</bookmark_value>
</bookmark>
<h2 id="hd_id0119200903205393">GAMMA</h2>
<paragraph xml-lang="en-US" id="par_id0119200903205379" role="paragraph"><ahelp hid=".">Returns the Gamma function value.</ahelp> Note that GAMMAINV is not the inverse of GAMMA, but of GAMMADIST.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph id="par_id211585771824267" role="code" xml-lang="en-US">GAMMA(Number)</paragraph>
<paragraph xml-lang="en-US" id="par_id0119200903271614" role="paragraph">
<emph>Number</emph> is the number for which the Gamma function value is to be calculated.</paragraph>
</section>
<section id="gammainv">
<bookmark xml-lang="en-US" branch="index" id="bm_id3154841"><bookmark_value>GAMMAINV function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMAINV" id="bm_id3149249" localize="false"/>
<h2 id="hd_id3154841">GAMMAINV</h2>
<paragraph xml-lang="en-US" id="par_id3153932" role="paragraph"><ahelp hid="HID_FUNC_GAMMAINV">Returns the inverse of the Gamma cumulative distribution GAMMADIST.</ahelp> This function allows you to search for variables with different distribution.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id3155828" role="code">GAMMAINV(Number; Alpha; Beta)</paragraph>
<paragraph xml-lang="en-US" id="par_id3145138" role="paragraph">
<emph>Number</emph> is the probability value for which the inverse Gamma distribution is to be calculated.</paragraph>
<paragraph xml-lang="en-US" id="par_id3152785" role="paragraph">
<emph>Alpha</emph> is the parameter Alpha of the Gamma distribution.</paragraph>
<paragraph xml-lang="en-US" id="par_id3154561" role="paragraph">
<emph>Beta</emph> is the parameter Beta of the Gamma distribution.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id3153331" role="paragraph">
<item type="input">=GAMMAINV(0.8;1;1)</item> yields 1.61.</paragraph>
</section>
<section id="gammadotinv">
<bookmark xml-lang="en-US" branch="index" id="bm_id2914841"><bookmark_value>GAMMA.INV function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMAINV_MS" id="bm_id2919249" localize="false"/>
<h2 id="hd_id2914841">GAMMA.INV</h2>
<paragraph xml-lang="en-US" id="par_id2913932" role="paragraph"><ahelp hid="HID_FUNC_GAMMAINV_MS">Returns the inverse of the Gamma cumulative distribution GAMMADIST.</ahelp> This function allows you to search for variables with different distribution.</paragraph>
<paragraph id="par_id291422405814" role="paragraph" xml-lang="en-US">This function is identical to GAMMAINV and was introduced for interoperability with other office suites.</paragraph>
<embed href="text/scalc/00/avail_release.xhp#4.3"/>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id2915828" role="code">GAMMA.INV(Number; Alpha; Beta)</paragraph>
<paragraph xml-lang="en-US" id="par_id2915138" role="paragraph">
<emph>Number</emph> is the probability value for which the inverse Gamma distribution is to be calculated.</paragraph>
<paragraph xml-lang="en-US" id="par_id2912785" role="paragraph">
<emph>Alpha</emph> is the parameter Alpha of the Gamma distribution.</paragraph>
<paragraph xml-lang="en-US" id="par_id2914561" role="paragraph">
<emph>Beta</emph> is the parameter Beta of the Gamma distribution.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id2913331" role="paragraph">
<item type="input">=GAMMA.INV(0.8;1;1)</item> yields 1.61.</paragraph>
</section>
<section id="gammaln">
<bookmark xml-lang="en-US" branch="index" id="bm_id3154806"><bookmark_value>GAMMALN function</bookmark_value>
<bookmark_value>natural logarithm of Gamma function</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMALN" id="bm_id3149511" localize="false"/>
<h2 id="hd_id3154806">GAMMALN</h2>
<paragraph xml-lang="en-US" id="par_id3148572" role="paragraph"><ahelp hid="HID_FUNC_GAMMALN">Returns the natural logarithm of the Gamma function: G(x).</ahelp></paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id3153112" role="code">GAMMALN(Number)</paragraph>
<paragraph xml-lang="en-US" id="par_id3154502" role="paragraph">
<emph>Number</emph> is the value for which the natural logarithm of the Gamma function is to be calculated.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id3153730" role="paragraph">
<item type="input">=GAMMALN(2)</item> yields 0.</paragraph>
</section>
<section id="gammalnprecise">
<bookmark xml-lang="en-US" branch="index" id="bm_id2914806"><bookmark_value>GAMMALN.PRECISE function</bookmark_value>
<bookmark_value>natural logarithm of Gamma function</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMALN_MS" id="bm_id2919511" localize="false"/>
<h2 id="hd_id2914806">GAMMALN.PRECISE</h2>
<paragraph xml-lang="en-US" id="par_id2918572" role="paragraph"><ahelp hid="HID_FUNC_GAMMALN_MS">Returns the natural logarithm of the Gamma function: G(x).</ahelp></paragraph>
<embed href="text/scalc/00/avail_release.xhp#4.3"/>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id2913112" role="code">GAMMALN.PRECISE(Number)</paragraph>
<paragraph xml-lang="en-US" id="par_id2914502" role="paragraph">
<emph>Number</emph> is the value for which the natural logarithm of the Gamma function is to be calculated.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id2913730" role="paragraph">
<item type="input">=GAMMALN.PRECISE(2)</item> yields 0.</paragraph>
</section>
<section id="gammadist">
<bookmark xml-lang="en-US" branch="index" id="bm_id3150132"><bookmark_value>GAMMADIST function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMAVERT" id="bm_id3154330" localize="false"/>
<h2 id="hd_id3150132">GAMMADIST</h2>
<paragraph xml-lang="en-US" id="par_id3155931" role="paragraph"><ahelp hid="HID_FUNC_GAMMAVERT">Returns the values of a Gamma distribution.</ahelp></paragraph>
<paragraph xml-lang="en-US" id="par_id0119200903333675" role="paragraph">The inverse function is GAMMAINV.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id3155436" role="code">GAMMADIST(Number; Alpha; Beta; C)</paragraph>
<paragraph xml-lang="en-US" id="par_id3150571" role="paragraph">
<emph>Number</emph> is the value for which the Gamma distribution is to be calculated.</paragraph>
<paragraph xml-lang="en-US" id="par_id3145295" role="paragraph">
<emph>Alpha</emph> is the parameter Alpha of the Gamma distribution.</paragraph>
<paragraph xml-lang="en-US" id="par_id3151015" role="paragraph">
<emph>Beta</emph> is the parameter Beta of the Gamma distribution.</paragraph>
<paragraph xml-lang="en-US" id="par_id3157972" role="paragraph">
<emph>C</emph> (optional) = 0 or False calculates the density function <emph>C</emph> = 1 or True calculates the distribution.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id3145354" role="paragraph">
<item type="input">=GAMMADIST(2;1;1;1)</item> yields 0.86.</paragraph>
</section>
<section id="gammadotdist">
<bookmark xml-lang="en-US" branch="index" id="bm_id240620142206421">
<bookmark_value>GAMMA.DIST function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMADIST_MS" id="bm_id2406201421290724" localize="false"/>
<h2 id="hd_id2406201422120061">GAMMA.DIST</h2>
<paragraph id="par_id2406201422414690" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_GAMMADIST_MS">Returns the values of a Gamma distribution.</ahelp></paragraph>
<paragraph id="par_id24061422414690" role="paragraph" xml-lang="en-US">The inverse function is GAMMAINV or GAMMA.INV.</paragraph>
<paragraph id="par_id2406201422405814" role="paragraph" xml-lang="en-US">This function is identical to GAMMADIST and was introduced for interoperability with other office suites.</paragraph>
<embed href="text/scalc/00/avail_release.xhp#4.3"/>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph id="par_id240620142238475" role="code" xml-lang="en-US">GAMMA.DIST(Number; Alpha; Beta; C)</paragraph>
<paragraph id="par_id2406201422385134" role="paragraph" xml-lang="en-US"><emph>Number</emph> is the value for which the Gamma distribution is to be calculated.</paragraph>
<paragraph id="par_id2406201422385590" role="paragraph" xml-lang="en-US"><emph>Alpha</emph> is the parameter Alpha of the Gamma distribution.</paragraph>
<paragraph id="par_id2406201422390458" role="paragraph" xml-lang="en-US"><emph>Beta</emph> is the parameter Beta of the Gamma distribution.</paragraph>
<paragraph id="par_id2406201422391058" role="paragraph" xml-lang="en-US"><emph>C</emph> (optional) = 0 or False calculates the density function <emph>C</emph> = 1 or True calculates the distribution.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph id="par_id2406201422392251" role="paragraph" xml-lang="en-US"><item type="input">=GAMMA.DIST(2;1;1;1)</item> yields 0.86.</paragraph>
</section>
<section id="gauss">
<bookmark xml-lang="en-US" branch="index" id="bm_id3150272"><bookmark_value>GAUSS function</bookmark_value>
<bookmark_value>normal distribution; standard</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAUSS" id="bm_id3149388" localize="false"/>
<h2 id="hd_id3150272">GAUSS</h2>
<paragraph xml-lang="en-US" id="par_id3149030" role="paragraph"><ahelp hid="HID_FUNC_GAUSS">Returns the standard normal cumulative distribution.</ahelp></paragraph>
<paragraph xml-lang="en-US" id="par_id2059694" role="paragraph">It is GAUSS(x)=NORMSDIST(x)-0.5</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id3155368" role="code">GAUSS(Number)</paragraph>
<paragraph xml-lang="en-US" id="par_id3153228" role="paragraph">
<emph>Number</emph> is the value for which the value of the standard normal distribution is to be calculated.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id3154867" role="paragraph">
<item type="input">=GAUSS(0.19)</item> = 0.08</paragraph>
<paragraph xml-lang="en-US" id="par_id3148594" role="paragraph">
<item type="input">=GAUSS(0.0375)</item> = 0.01</paragraph>
</section>
<section id="geomean">
<bookmark xml-lang="en-US" branch="index" id="bm_id3148425"><bookmark_value>GEOMEAN function</bookmark_value>
<bookmark_value>means;geometric</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GEOMITTEL" id="bm_id3149777" localize="false"/>
<h2 id="hd_id3148425">GEOMEAN</h2>
<paragraph xml-lang="en-US" id="par_id3156257" role="paragraph"><ahelp hid="HID_FUNC_GEOMITTEL">Returns the geometric mean of a sample.</ahelp></paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id3153720" role="code">GEOMEAN(Number1; Number2; ...; Number30)</paragraph>
<paragraph xml-lang="en-US" id="par_id3152585" role="paragraph">
<emph>Number1, Number2, ..., Number30</emph> are numeric arguments or ranges that represent a random sample.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id3149819" role="paragraph">
<item type="input">=GEOMEAN(23;46;69)</item> = 41.79. The geometric mean value of this random sample is therefore 41.79.</paragraph>
</section>
<section id="trimmean">
<bookmark xml-lang="en-US" branch="index" id="bm_id3152966"><bookmark_value>TRIMMEAN function</bookmark_value>
<bookmark_value>means;of data set without margin data</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GESTUTZTMITTEL" id="bm_id3145081" localize="false"/>
<h2 id="hd_id3152966">TRIMMEAN</h2>
<paragraph xml-lang="en-US" id="par_id3149716" role="paragraph"><ahelp hid="HID_FUNC_GESTUTZTMITTEL">Returns the mean of a data set without the Alpha percent of data at the margins.</ahelp></paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id3154821" role="code">TRIMMEAN(Data; Alpha)</paragraph>
<paragraph xml-lang="en-US" id="par_id3155834" role="paragraph">
<emph>Data</emph> is the array of data in the sample.</paragraph>
<paragraph xml-lang="en-US" id="par_id3156304" role="paragraph">
<emph>Alpha</emph> is the percentage of the marginal data that will not be taken into consideration.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id3156130" role="paragraph">
<item type="input">=TRIMMEAN(A1:A50; 0.1)</item> calculates the mean value of numbers in A1:A50, without taking into consideration the 5 percent of the values representing the highest values and the 5 percent of the values representing the lowest ones. The percentage numbers refer to the amount of the untrimmed mean value, not to the number of summands.</paragraph>
</section>
<section id="ztest">
<bookmark xml-lang="en-US" branch="index" id="bm_id3153216"><bookmark_value>ZTEST function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GTEST" id="bm_id3147569" localize="false"/>
<h2 id="hd_id3153216">ZTEST</h2>
<paragraph xml-lang="en-US" id="par_id3150758" role="paragraph"><ahelp hid="HID_FUNC_GTEST">Calculates the probability of observing a z-statistic greater than the one computed based on a sample.</ahelp></paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id3153274" role="code">ZTEST(Data; mu; Sigma)</paragraph>
<paragraph xml-lang="en-US" id="par_id3156109" role="paragraph">
<emph>Data</emph> is the given sample, drawn from a normally distributed population.</paragraph>
<paragraph xml-lang="en-US" id="par_id3149977" role="paragraph">
<emph>mu</emph> is the known mean of the population.</paragraph>
<paragraph xml-lang="en-US" id="par_id3154740" role="paragraph">
<emph>Sigma</emph> (optional) is the known standard deviation of the population. If omitted, the standard deviation of the given sample is used.</paragraph>
<paragraph xml-lang="en-US" id="par_id0305200911372999" role="paragraph">See also the <link href="https://wiki.documentfoundation.org/Documentation/How_Tos/Calc:_ZTEST_function" name="wiki.documentfoundation.org Documentation/HowTo/Calc/ZTEST function">Wiki page</link>.</paragraph>
</section>
<section id="zdottest">
<bookmark xml-lang="en-US" branch="index" id="bm_id2953216"><bookmark_value>Z.TEST function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_Z_TEST_MS" id="bm_id2947569" localize="false"/>
<h2 id="hd_id2953216">Z.TEST</h2>
<paragraph xml-lang="en-US" id="par_id2950758" role="paragraph"><ahelp hid="HID_FUNC_Z_TEST_MS">Calculates the probability of observing a z-statistic greater than the one computed based on a sample.</ahelp></paragraph>
<embed href="text/scalc/00/avail_release.xhp#4.3"/>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id2953274" role="code">Z.TEST(Data; mu; Sigma)</paragraph>
<paragraph xml-lang="en-US" id="par_id2956109" role="paragraph"><emph>Data</emph> is the given sample, drawn from a normally distributed population.</paragraph>
<paragraph xml-lang="en-US" id="par_id2949977" role="paragraph"><emph>mu</emph> is the known mean of the population.</paragraph>
<paragraph xml-lang="en-US" id="par_id2954740" role="paragraph"><emph>Sigma</emph> (optional) is the known standard deviation of the population. If omitted, the standard deviation of the given sample is used.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id2948770" role="paragraph"><item type="input">=Z.TEST(A2:A20; 9; 2)</item> returns the result of a z-test on a sample A2:A20 drawn from a population with known mean 9 and known standard deviation 2.</paragraph>
</section>
<section id="harmean">
<bookmark xml-lang="en-US" branch="index" id="bm_id3153623"><bookmark_value>HARMEAN function</bookmark_value>
<bookmark_value>means;harmonic</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_HARMITTEL" id="bm_id3154052" localize="false"/>
<h2 id="hd_id3153623">HARMEAN</h2>
<paragraph xml-lang="en-US" id="par_id3155102" role="paragraph"><ahelp hid="HID_FUNC_HARMITTEL">Returns the harmonic mean of a data set.</ahelp></paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id3149287" role="code">HARMEAN(Number1; Number2; ...; Number30)</paragraph>
<paragraph xml-lang="en-US" id="par_id3154303" role="paragraph">
<emph>Number1, Number2, ..., Number30</emph> are up to 30 values or ranges, that can be used to calculate the harmonic mean.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id3146093" role="paragraph">
<item type="input">=HARMEAN(23;46;69)</item> = 37.64. The harmonic mean of this random sample is thus 37.64</paragraph>
</section>
<section id="hypgeomdist">
<bookmark xml-lang="en-US" branch="index" id="bm_id3152801"><bookmark_value>HYPGEOMDIST function</bookmark_value>
<bookmark_value>sampling without replacement</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_HYPGEOMVERT" id="bm_id3153910" localize="false"/>
<h2 id="hd_id3152801">HYPGEOMDIST</h2>
<paragraph xml-lang="en-US" id="par_id3159341" role="paragraph"><ahelp hid="HID_FUNC_HYPGEOMVERT">Returns the hypergeometric distribution.</ahelp></paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id3155388" role="code">HYPGEOMDIST(X; NSample; Successes; NPopulation[; Cumulative])</paragraph>
<paragraph xml-lang="en-US" id="par_id3154933" role="paragraph">
<emph>X</emph> is the number of results achieved in the random sample.</paragraph>
<paragraph xml-lang="en-US" id="par_id3153106" role="paragraph">
<emph>NSample</emph> is the size of the random sample.</paragraph>
<paragraph xml-lang="en-US" id="par_id3146992" role="paragraph">
<emph>Successes</emph> is the number of possible results in the total population.</paragraph>
<paragraph xml-lang="en-US" id="par_id3148826" role="paragraph">
<emph>NPopulation </emph>is the size of the total population.</paragraph>
<paragraph xml-lang="en-US" id="par_id231585952506847" role="paragraph"><emph>Cumulative </emph> (optional) specifies whether to calculate the probability density function (FALSE or 0) or the cumulative distribution function (any other value). The cumulative distribution function is the default if no value is specified for this parameter.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id3154904" role="paragraph">
<item type="input">=HYPGEOMDIST(2;2;90;100)</item> yields 0.81. If 90 out of 100 pieces of buttered toast fall from the table and hit the floor with the buttered side first, then if 2 pieces of buttered toast are dropped from the table, the probability is 81%, that both will strike buttered side first.</paragraph>
</section>
<section id="hypgeomdotdist">
<bookmark xml-lang="en-US" branch="index" id="bm_id2952801">
<bookmark_value>HYPGEOM.DIST function</bookmark_value>
<bookmark_value>sampling without replacement</bookmark_value>
</bookmark>
<comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_HYP_GEOM_DIST_MS" id="bm_id2953910" localize="false"/>
<h2 id="hd_id2952801">HYPGEOM.DIST</h2>
<paragraph xml-lang="en-US" id="par_id2959341" role="paragraph"><ahelp hid="HID_FUNC_HYP_GEOM_DIST_MS">Returns the hypergeometric distribution.</ahelp></paragraph>
<embed href="text/scalc/00/avail_release.xhp#4.2"/>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph xml-lang="en-US" id="par_id2955388" role="code">HYPGEOM.DIST(X; NSample; Successes; NPopulation; Cumulative)</paragraph>
<paragraph xml-lang="en-US" id="par_id2954933" role="paragraph"><emph>X</emph> is the number of results achieved in the random sample.</paragraph>
<paragraph xml-lang="en-US" id="par_id2953106" role="paragraph"><emph>NSample</emph> is the size of the random sample.</paragraph>
<paragraph xml-lang="en-US" id="par_id2946992" role="paragraph"><emph>Successes</emph> is the number of possible results in the total population.</paragraph>
<paragraph xml-lang="en-US" id="par_id2948826" role="paragraph"><emph>NPopulation </emph>is the size of the total population.</paragraph>
<paragraph xml-lang="en-US" id="par_id2948827" role="paragraph"><emph>Cumulative </emph>: 0 or False calculates the probability density function. Other values or True calculates the cumulative distribution function.</paragraph>
<embed href="text/scalc/01/common_func.xhp#sectionexample"/>
<paragraph xml-lang="en-US" id="par_id2954904" role="paragraph"><item type="input">=HYPGEOM.DIST(2;2;90;100;0)</item> yields 0.8090909091. If 90 out of 100 pieces of buttered toast fall from the table and hit the floor with the buttered side first, then if 2 pieces of buttered toast are dropped from the table, the probability is 81%, that both will strike buttered side first.</paragraph>
<paragraph xml-lang="en-US" id="par_id2954905" role="paragraph"><item type="input">=HYPGEOM.DIST(2;2;90;100;1)</item> yields 1.</paragraph>
</section>
</sort>
<section id="relatedtopics">
<embed href="text/scalc/01/04060100.xhp#drking"/>
</section>
</body>
</helpdocument>
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