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<meta>
<topic id="textscalc0104060182xml" indexer="include">
<title id="tit" xml-lang="en-US">Statistical Functions Part Two</title>
<filename>/text/scalc/01/04060182.xhp</filename>
</topic>
</meta>
<body>
<paragraph role="heading" id="hd_id3154372" xml-lang="en-US" level="1" l10n="U" oldref="1"><variable id="fh"><link href="text/scalc/01/04060182.xhp" name="Statistical Functions Part Two">Statistical Functions Part Two</link>
</variable></paragraph>
<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/HID_FUNC_FINV" id="bm_id3146113" localize="false"/>
<paragraph role="heading" id="hd_id3145388" xml-lang="en-US" level="2" l10n="U" oldref="2">FINV</paragraph>
<paragraph role="paragraph" id="par_id3155089" xml-lang="en-US" l10n="U" oldref="3"><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>
<paragraph role="heading" id="hd_id3153816" xml-lang="en-US" level="3" l10n="U" oldref="4">Syntax</paragraph>
<paragraph role="code" id="par_id3153068" xml-lang="en-US" l10n="U" oldref="5">FINV(Number; DegreesFreedom1; DegreesFreedom2)</paragraph>
<paragraph role="paragraph" id="par_id3146866" xml-lang="en-US" l10n="U" oldref="6">
<emph>Number</emph> is probability value for which the inverse F distribution is to be calculated.</paragraph>
<paragraph role="paragraph" id="par_id3153914" xml-lang="en-US" l10n="U" oldref="7">
<emph>DegreesFreedom1</emph> is the number of degrees of freedom in the numerator of the F distribution.</paragraph>
<paragraph role="paragraph" id="par_id3148607" xml-lang="en-US" l10n="U" oldref="8">
<emph>DegreesFreedom2</emph> is the number of degrees of freedom in the denominator of the F distribution.</paragraph>
<paragraph role="heading" id="hd_id3156021" xml-lang="en-US" level="3" l10n="U" oldref="9">Example</paragraph>
<paragraph role="paragraph" id="par_id3145073" xml-lang="en-US" l10n="U" oldref="10">
<item type="input">=FINV(0.5;5;10)</item> yields 0.93.</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/HID_FUNC_FISHER" id="bm_id3146782" localize="false"/>
<paragraph role="heading" id="hd_id3150888" xml-lang="en-US" level="2" l10n="U" oldref="12">FISHER</paragraph>
<paragraph role="paragraph" id="par_id3155384" xml-lang="en-US" l10n="U" oldref="13"><ahelp hid="HID_FUNC_FISHER">Returns the Fisher transformation for x and creates a function close to a normal distribution.</ahelp></paragraph>
<paragraph role="heading" id="hd_id3149898" xml-lang="en-US" level="3" l10n="U" oldref="14">Syntax</paragraph>
<paragraph role="code" id="par_id3143220" xml-lang="en-US" l10n="U" oldref="15">FISHER(Number)</paragraph>
<paragraph role="paragraph" id="par_id3159228" xml-lang="en-US" l10n="U" oldref="16">
<emph>Number</emph> is the value to be transformed.</paragraph>
<paragraph role="heading" id="hd_id3154763" xml-lang="en-US" level="3" l10n="U" oldref="17">Example</paragraph>
<paragraph role="paragraph" id="par_id3149383" xml-lang="en-US" l10n="U" oldref="18">
<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/HID_FUNC_FISHERINV" id="bm_id3149317" localize="false"/>
<paragraph role="heading" id="hd_id3155758" xml-lang="en-US" level="2" l10n="U" oldref="20">FISHERINV</paragraph>
<paragraph role="paragraph" id="par_id3154734" xml-lang="en-US" l10n="U" oldref="21"><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>
<paragraph role="heading" id="hd_id3155755" xml-lang="en-US" level="3" l10n="U" oldref="22">Syntax</paragraph>
<paragraph role="code" id="par_id3146108" xml-lang="en-US" l10n="U" oldref="23">FISHERINV(Number)</paragraph>
<paragraph role="paragraph" id="par_id3145115" xml-lang="en-US" l10n="U" oldref="24">
<emph>Number</emph> is the value that is to undergo reverse-transformation.</paragraph>
<paragraph role="heading" id="hd_id3155744" xml-lang="en-US" level="3" l10n="U" oldref="25">Example</paragraph>
<paragraph role="paragraph" id="par_id3150432" xml-lang="en-US" l10n="U" oldref="26">
<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/HID_FUNC_FTEST" id="bm_id3159263" localize="false"/>
<paragraph role="heading" id="hd_id3151390" xml-lang="en-US" level="2" l10n="U" oldref="28">FTEST</paragraph>
<paragraph role="paragraph" id="par_id3150534" xml-lang="en-US" l10n="U" oldref="29"><ahelp hid="HID_FUNC_FTEST">Returns the result of an F test.</ahelp></paragraph>
<paragraph role="heading" id="hd_id3166466" xml-lang="en-US" level="3" l10n="U" oldref="30">Syntax</paragraph>
<paragraph role="code" id="par_id3153024" xml-lang="en-US" l10n="U" oldref="31">FTEST(Data1; Data2)</paragraph>
<paragraph role="paragraph" id="par_id3150032" xml-lang="en-US" l10n="U" oldref="32">
<emph>Data1</emph> is the first record array.</paragraph>
<paragraph role="paragraph" id="par_id3153018" xml-lang="en-US" l10n="U" oldref="33">
<emph>Data2</emph> is the second record array.</paragraph>
<paragraph role="heading" id="hd_id3153123" xml-lang="en-US" level="3" l10n="U" oldref="34">Example</paragraph>
<paragraph role="paragraph" id="par_id3159126" xml-lang="en-US" l10n="U" oldref="35">
<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="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/HID_FUNC_FVERT" id="bm_id3149722" localize="false"/>
<paragraph role="heading" id="hd_id3150372" xml-lang="en-US" level="2" l10n="U" oldref="37">FDIST</paragraph>
<paragraph role="paragraph" id="par_id3152981" xml-lang="en-US" l10n="U" oldref="38"><ahelp hid="HID_FUNC_FVERT">Calculates the values of an F distribution.</ahelp></paragraph>
<paragraph role="heading" id="hd_id3150484" xml-lang="en-US" level="3" l10n="U" oldref="39">Syntax</paragraph>
<paragraph role="code" id="par_id3145826" xml-lang="en-US" l10n="U" oldref="40">FDIST(Number; DegreesFreedom1; DegreesFreedom2)</paragraph>
<paragraph role="paragraph" id="par_id3150461" xml-lang="en-US" l10n="U" oldref="41">
<emph>Number</emph> is the value for which the F distribution is to be calculated.</paragraph>
<paragraph role="paragraph" id="par_id3150029" xml-lang="en-US" l10n="U" oldref="42">
<emph>degreesFreedom1</emph> is the degrees of freedom in the numerator in the F distribution.</paragraph>
<paragraph role="paragraph" id="par_id3146877" xml-lang="en-US" l10n="U" oldref="43">
<emph>degreesFreedom2</emph> is the degrees of freedom in the denominator in the F distribution.</paragraph>
<paragraph role="heading" id="hd_id3147423" xml-lang="en-US" level="3" l10n="U" oldref="44">Example</paragraph>
<paragraph role="paragraph" id="par_id3150696" xml-lang="en-US" l10n="U" oldref="45">
<item type="input">=FDIST(0.8;8;12)</item> yields 0.61.</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/HID_FUNC_GAMMAINV" id="bm_id3149249" localize="false"/>
<paragraph role="heading" id="hd_id3154841" xml-lang="en-US" level="2" l10n="U" oldref="47">GAMMAINV</paragraph>
<paragraph role="paragraph" id="par_id3153932" xml-lang="en-US" l10n="U" oldref="48"><ahelp hid="HID_FUNC_GAMMAINV">Returns the inverse of the Gamma cumulative distribution.</ahelp> This function allows you to search for variables with different distribution.</paragraph>
<paragraph role="heading" id="hd_id3149949" xml-lang="en-US" level="3" l10n="U" oldref="49">Syntax</paragraph>
<paragraph role="code" id="par_id3155828" xml-lang="en-US" l10n="U" oldref="50">GAMMAINV(Number; Alpha; Beta)</paragraph>
<paragraph role="paragraph" id="par_id3145138" xml-lang="en-US" l10n="U" oldref="51">
<emph>Number</emph> is the probability value for which the inverse Gamma distribution is to be calculated.</paragraph>
<paragraph role="paragraph" id="par_id3152785" xml-lang="en-US" l10n="U" oldref="52">
<emph>Alpha</emph> is the parameter Alpha of the Gamma distribution.</paragraph>
<paragraph role="paragraph" id="par_id3154561" xml-lang="en-US" l10n="U" oldref="53">
<emph>Beta</emph> is the parameter Beta of the Gamma distribution.</paragraph>
<paragraph role="heading" id="hd_id3148734" xml-lang="en-US" level="3" l10n="U" oldref="54">Example</paragraph>
<paragraph role="paragraph" id="par_id3153331" xml-lang="en-US" l10n="U" oldref="55">
<item type="input">=GAMMAINV(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/HID_FUNC_GAMMALN" id="bm_id3149511" localize="false"/>
<paragraph role="heading" id="hd_id3154806" xml-lang="en-US" level="2" l10n="U" oldref="57">GAMMALN</paragraph>
<paragraph role="paragraph" id="par_id3148572" xml-lang="en-US" l10n="U" oldref="58"><ahelp hid="HID_FUNC_GAMMALN">Returns the natural logarithm of the Gamma function: G(x).</ahelp></paragraph>
<paragraph role="heading" id="hd_id3152999" xml-lang="en-US" level="3" l10n="U" oldref="59">Syntax</paragraph>
<paragraph role="code" id="par_id3153112" xml-lang="en-US" l10n="U" oldref="60">GAMMALN(Number)</paragraph>
<paragraph role="paragraph" id="par_id3154502" xml-lang="en-US" l10n="U" oldref="61">
<emph>Number</emph> is the value for which the natural logarithm of the Gamma function is to be calculated.</paragraph>
<paragraph role="heading" id="hd_id3153568" xml-lang="en-US" level="3" l10n="U" oldref="62">Example</paragraph>
<paragraph role="paragraph" id="par_id3153730" xml-lang="en-US" l10n="U" oldref="63">
<item type="input">=GAMMALN(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/HID_FUNC_GAMMAVERT" id="bm_id3154330" localize="false"/>
<paragraph role="heading" id="hd_id3150132" xml-lang="en-US" level="2" l10n="U" oldref="65">GAMMADIST</paragraph>
<paragraph role="paragraph" id="par_id3155931" xml-lang="en-US" l10n="U" oldref="66"><ahelp hid="HID_FUNC_GAMMAVERT">Returns the values of a Gamma distribution.</ahelp></paragraph>
<paragraph role="heading" id="hd_id3147373" xml-lang="en-US" level="3" l10n="U" oldref="67">Syntax</paragraph>
<paragraph role="code" id="par_id3155436" xml-lang="en-US" l10n="U" oldref="68">GAMMADIST(Number; Alpha; Beta; C)</paragraph>
<paragraph role="paragraph" id="par_id3150571" xml-lang="en-US" l10n="U" oldref="69">
<emph>Number</emph> is the value for which the Gamma distribution is to be calculated.</paragraph>
<paragraph role="paragraph" id="par_id3145295" xml-lang="en-US" l10n="U" oldref="70">
<emph>Alpha</emph> is the parameter Alpha of the Gamma distribution.</paragraph>
<paragraph role="paragraph" id="par_id3151015" xml-lang="en-US" l10n="U" oldref="71">
<emph>Beta</emph> is the parameter Beta of the Gamma distribution</paragraph>
<paragraph role="paragraph" id="par_id3157972" xml-lang="en-US" l10n="U" oldref="72">
<emph>C</emph> = 0 calculates the density function <emph>C</emph> = 1 the distribution.</paragraph>
<paragraph role="heading" id="hd_id3149535" xml-lang="en-US" level="3" l10n="U" oldref="73">Example</paragraph>
<paragraph role="paragraph" id="par_id3145354" xml-lang="en-US" l10n="U" oldref="74">
<item type="input">=GAMMADIST(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/HID_FUNC_GAUSS" id="bm_id3149388" localize="false"/>
<paragraph role="heading" id="hd_id3150272" xml-lang="en-US" level="2" l10n="U" oldref="76">GAUSS</paragraph>
<paragraph role="paragraph" id="par_id3149030" xml-lang="en-US" l10n="U" oldref="77"><ahelp hid="HID_FUNC_GAUSS">Returns the standard normal cumulative distribution.</ahelp></paragraph>
<paragraph role="paragraph" id="par_id2059694" xml-lang="en-US" l10n="NEW">It is GAUSS(x)=NORMSDIST(x)-0.5</paragraph>
<paragraph role="heading" id="hd_id3153551" xml-lang="en-US" level="3" l10n="U" oldref="78">Syntax</paragraph>
<paragraph role="code" id="par_id3155368" xml-lang="en-US" l10n="U" oldref="79">GAUSS(Number)</paragraph>
<paragraph role="paragraph" id="par_id3153228" xml-lang="en-US" l10n="CHG" oldref="80">
<emph>Number</emph> is the value for which the value of the standard normal distribution is to be calculated.</paragraph>
<paragraph role="heading" id="hd_id3150691" xml-lang="en-US" level="3" l10n="U" oldref="81">Example</paragraph>
<paragraph role="paragraph" id="par_id3154867" xml-lang="en-US" l10n="U" oldref="82">
<item type="input">=GAUSS(0.19)</item> = 0.08</paragraph>
<paragraph role="paragraph" id="par_id3148594" xml-lang="en-US" l10n="U" oldref="83">
<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/HID_FUNC_GEOMITTEL" id="bm_id3149777" localize="false"/>
<paragraph role="heading" id="hd_id3148425" xml-lang="en-US" level="2" l10n="U" oldref="85">GEOMEAN</paragraph>
<paragraph role="paragraph" id="par_id3156257" xml-lang="en-US" l10n="U" oldref="86"><ahelp hid="HID_FUNC_GEOMITTEL">Returns the geometric mean of a sample.</ahelp></paragraph>
<paragraph role="heading" id="hd_id3147167" xml-lang="en-US" level="3" l10n="U" oldref="87">Syntax</paragraph>
<paragraph role="code" id="par_id3153720" xml-lang="en-US" l10n="U" oldref="88">GEOMEAN(Number1; Number2; ...Number30)</paragraph>
<paragraph role="paragraph" id="par_id3152585" xml-lang="en-US" l10n="CHG" oldref="89">
<emph>Number1, Number2,...Number30</emph> are numeric arguments or ranges that represent a random sample.</paragraph>
<paragraph role="heading" id="hd_id3146146" xml-lang="en-US" level="3" l10n="U" oldref="90">Example</paragraph>
<paragraph role="paragraph" id="par_id3149819" xml-lang="en-US" l10n="U" oldref="92">
<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/HID_FUNC_GESTUTZTMITTEL" id="bm_id3145081" localize="false"/>
<paragraph role="heading" id="hd_id3152966" xml-lang="en-US" level="2" l10n="U" oldref="94">TRIMMEAN</paragraph>
<paragraph role="paragraph" id="par_id3149716" xml-lang="en-US" l10n="U" oldref="95"><ahelp hid="HID_FUNC_GESTUTZTMITTEL">Returns the mean of a data set without the Alpha percent of data at the margins.</ahelp></paragraph>
<paragraph role="heading" id="hd_id3149281" xml-lang="en-US" level="3" l10n="U" oldref="96">Syntax</paragraph>
<paragraph role="code" id="par_id3154821" xml-lang="en-US" l10n="U" oldref="97">TRIMMEAN(Data; Alpha)</paragraph>
<paragraph role="paragraph" id="par_id3155834" xml-lang="en-US" l10n="U" oldref="98">
<emph>Data</emph> is the array of data in the sample.</paragraph>
<paragraph role="paragraph" id="par_id3156304" xml-lang="en-US" l10n="U" oldref="99">
<emph>Alpha</emph> is the percentage of the marginal data that will not be taken into consideration.</paragraph>
<paragraph role="heading" id="hd_id3151180" xml-lang="en-US" level="3" l10n="U" oldref="100">Example</paragraph>
<paragraph role="paragraph" id="par_id3156130" xml-lang="en-US" l10n="U" oldref="101">
<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/HID_FUNC_GTEST" id="bm_id3147569" localize="false"/>
<paragraph role="heading" id="hd_id3153216" xml-lang="en-US" level="2" l10n="U" oldref="103">ZTEST</paragraph>
<paragraph role="paragraph" id="par_id3150758" xml-lang="en-US" l10n="U" oldref="104"><ahelp hid="HID_FUNC_GTEST">Returns the two-tailed P value of a z test with standard distribution.</ahelp></paragraph>
<paragraph role="heading" id="hd_id3150872" xml-lang="en-US" level="3" l10n="U" oldref="105">Syntax</paragraph>
<paragraph role="code" id="par_id3153274" xml-lang="en-US" l10n="U" oldref="106">ZTEST(Data; Number; Sigma)</paragraph>
<paragraph role="paragraph" id="par_id3156109" xml-lang="en-US" l10n="U" oldref="107">
<emph>Data</emph> is the array of the data.</paragraph>
<paragraph role="paragraph" id="par_id3149977" xml-lang="en-US" l10n="U" oldref="108">
<emph>Number</emph> is the value to be tested.</paragraph>
<paragraph role="paragraph" id="par_id3154740" xml-lang="en-US" l10n="U" oldref="109">
<emph>Sigma</emph> (optional) is the standard deviation of the total population. If this argument is missing, the standard deviation of the sample in question will be processed.</paragraph>
<paragraph role="heading" id="hd_id3151289" xml-lang="en-US" level="3" l10n="U" oldref="110">Example</paragraph>
<paragraph role="paragraph" id="par_id3153756" xml-lang="en-US" l10n="U" oldref="111">
<item type="input">=ZTEST(A1:A50;12)</item> yields the probability that value 12 belongs to the standard distribution of the total population of data in A1:A50.</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/HID_FUNC_HARMITTEL" id="bm_id3154052" localize="false"/>
<paragraph role="heading" id="hd_id3153623" xml-lang="en-US" level="2" l10n="U" oldref="113">HARMEAN</paragraph>
<paragraph role="paragraph" id="par_id3155102" xml-lang="en-US" l10n="U" oldref="114"><ahelp hid="HID_FUNC_HARMITTEL">Returns the harmonic mean of a data set.</ahelp></paragraph>
<paragraph role="heading" id="hd_id3146900" xml-lang="en-US" level="3" l10n="U" oldref="115">Syntax</paragraph>
<paragraph role="code" id="par_id3149287" xml-lang="en-US" l10n="U" oldref="116">HARMEAN(Number1; Number2; ...Number30)</paragraph>
<paragraph role="paragraph" id="par_id3154303" xml-lang="en-US" l10n="CHG" oldref="117">
<emph>Number1,Number2,...Number30</emph> are up to 30 values or ranges, that can be used to calculate the harmonic mean.</paragraph>
<paragraph role="heading" id="hd_id3159179" xml-lang="en-US" level="3" l10n="U" oldref="118">Example</paragraph>
<paragraph role="paragraph" id="par_id3146093" xml-lang="en-US" l10n="U" oldref="120">
<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/HID_FUNC_HYPGEOMVERT" id="bm_id3153910" localize="false"/>
<paragraph role="heading" id="hd_id3152801" xml-lang="en-US" level="2" l10n="U" oldref="122">HYPGEOMDIST</paragraph>
<paragraph role="paragraph" id="par_id3159341" xml-lang="en-US" l10n="U" oldref="123"><ahelp hid="HID_FUNC_HYPGEOMVERT">Returns the hypergeometric distribution.</ahelp></paragraph>
<paragraph role="heading" id="hd_id3154697" xml-lang="en-US" level="3" l10n="U" oldref="124">Syntax</paragraph>
<paragraph role="code" id="par_id3155388" xml-lang="en-US" l10n="U" oldref="125">HYPGEOMDIST(X; NSample; Successes; NPopulation)</paragraph>
<paragraph role="paragraph" id="par_id3154933" xml-lang="en-US" l10n="U" oldref="126">
<emph>X</emph> is the number of results achieved in the random sample.</paragraph>
<paragraph role="paragraph" id="par_id3153106" xml-lang="en-US" l10n="U" oldref="127">
<emph>NSample</emph> is the size of the random sample.</paragraph>
<paragraph role="paragraph" id="par_id3146992" xml-lang="en-US" l10n="U" oldref="128">
<emph>Successes</emph> is the number of possible results in the total population.</paragraph>
<paragraph role="paragraph" id="par_id3148826" xml-lang="en-US" l10n="U" oldref="129">
<emph>NPopulation </emph>is the size of the total population.</paragraph>
<paragraph role="heading" id="hd_id3150529" xml-lang="en-US" level="3" l10n="U" oldref="130">Example</paragraph>
<paragraph role="paragraph" id="par_id3154904" xml-lang="en-US" l10n="U" oldref="131">
<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>
</sort>
<section id="relatedtopics">
<embed href="text/scalc/01/04060100.xhp#drking"/>
</section>
</body>
</helpdocument>
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