1<?xml version="1.0" encoding="UTF-8"?> 2 3<!--*********************************************************** 4 * 5 * Licensed to the Apache Software Foundation (ASF) under one 6 * or more contributor license agreements. See the NOTICE file 7 * distributed with this work for additional information 8 * regarding copyright ownership. The ASF licenses this file 9 * to you under the Apache License, Version 2.0 (the 10 * "License"); you may not use this file except in compliance 11 * with the License. You may obtain a copy of the License at 12 * 13 * http://www.apache.org/licenses/LICENSE-2.0 14 * 15 * Unless required by applicable law or agreed to in writing, 16 * software distributed under the License is distributed on an 17 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY 18 * KIND, either express or implied. See the License for the 19 * specific language governing permissions and limitations 20 * under the License. 21 * 22 ***********************************************************--> 23 24<helpdocument version="1.0"> 25<meta> 26<topic id="textscalc0104060182xml" indexer="include"> 27<title xml-lang="en-US" id="tit">Statistical Functions Part Two</title> 28<filename>/text/scalc/01/04060182.xhp</filename> 29</topic> 30</meta> 31<body> 32<paragraph xml-lang="en-US" id="hd_id3154372" role="heading" 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> 33</variable></paragraph> 34<sort order="asc"> 35<section id="finv"> 36<bookmark xml-lang="en-US" branch="index" id="bm_id3145388"> 37<bookmark_value>FINV function</bookmark_value> 38<bookmark_value>inverse F probability distribution</bookmark_value> 39</bookmark><comment>mw added one entry</comment> 40<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FINV" id="bm_id3146113" localize="false"/> 41<paragraph xml-lang="en-US" id="hd_id3145388" role="heading" level="2" l10n="U" oldref="2">FINV</paragraph> 42<paragraph xml-lang="en-US" id="par_id3155089" role="paragraph" 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> 43<paragraph xml-lang="en-US" id="hd_id3153816" role="heading" level="3" l10n="U" oldref="4">Syntax</paragraph> 44<paragraph xml-lang="en-US" id="par_id3153068" role="code" l10n="U" oldref="5">FINV(Number; DegreesFreedom1; DegreesFreedom2)</paragraph> 45<paragraph xml-lang="en-US" id="par_id3146866" role="paragraph" l10n="U" oldref="6"> 46<emph>Number</emph> is probability value for which the inverse F distribution is to be calculated.</paragraph> 47<paragraph xml-lang="en-US" id="par_id3153914" role="paragraph" l10n="U" oldref="7"> 48<emph>DegreesFreedom1</emph> is the number of degrees of freedom in the numerator of the F distribution.</paragraph> 49<paragraph xml-lang="en-US" id="par_id3148607" role="paragraph" l10n="U" oldref="8"> 50<emph>DegreesFreedom2</emph> is the number of degrees of freedom in the denominator of the F distribution.</paragraph> 51<paragraph xml-lang="en-US" id="hd_id3156021" role="heading" level="3" l10n="U" oldref="9">Example</paragraph> 52<paragraph xml-lang="en-US" id="par_id3145073" role="paragraph" l10n="U" oldref="10"> 53<item type="input">=FINV(0.5;5;10)</item> yields 0.93.</paragraph> 54</section> 55<section id="fisher"> 56<bookmark xml-lang="en-US" branch="index" id="bm_id3150888"><bookmark_value>FISHER function</bookmark_value> 57</bookmark> 58<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FISHER" id="bm_id3146782" localize="false"/> 59<paragraph xml-lang="en-US" id="hd_id3150888" role="heading" level="2" l10n="U" 60oldref="12">FISHER</paragraph> 61<paragraph xml-lang="en-US" id="par_id3155384" role="paragraph" 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> 62<paragraph xml-lang="en-US" id="hd_id3149898" role="heading" level="3" l10n="U" 63oldref="14">Syntax</paragraph> 64<paragraph xml-lang="en-US" id="par_id3143220" role="code" l10n="U" oldref="15">FISHER(Number)</paragraph> 65<paragraph xml-lang="en-US" id="par_id3159228" role="paragraph" l10n="U" oldref="16"> 66<emph>Number</emph> is the value to be transformed.</paragraph> 67<paragraph xml-lang="en-US" id="hd_id3154763" role="heading" level="3" l10n="U" 68oldref="17">Example</paragraph> 69<paragraph xml-lang="en-US" id="par_id3149383" role="paragraph" l10n="U" oldref="18"> 70<item type="input">=FISHER(0.5)</item> yields 0.55.</paragraph> 71</section> 72<section id="fisherinv"> 73<bookmark xml-lang="en-US" branch="index" id="bm_id3155758"><bookmark_value>FISHERINV function</bookmark_value> 74<bookmark_value>inverse of Fisher transformation</bookmark_value> 75</bookmark><comment>mw added one entry</comment> 76<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FISHERINV" id="bm_id3149317" localize="false"/> 77<paragraph xml-lang="en-US" id="hd_id3155758" role="heading" level="2" l10n="U" 78oldref="20">FISHERINV</paragraph> 79<paragraph xml-lang="en-US" id="par_id3154734" role="paragraph" 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> 80<paragraph xml-lang="en-US" id="hd_id3155755" role="heading" level="3" l10n="U" 81oldref="22">Syntax</paragraph> 82<paragraph xml-lang="en-US" id="par_id3146108" role="code" l10n="U" oldref="23">FISHERINV(Number)</paragraph> 83<paragraph xml-lang="en-US" id="par_id3145115" role="paragraph" l10n="U" oldref="24"> 84<emph>Number</emph> is the value that is to undergo reverse-transformation.</paragraph> 85<paragraph xml-lang="en-US" id="hd_id3155744" role="heading" level="3" l10n="U" 86oldref="25">Example</paragraph> 87<paragraph xml-lang="en-US" id="par_id3150432" role="paragraph" l10n="U" oldref="26"> 88<item type="input">=FISHERINV(0.5)</item> yields 0.46.</paragraph> 89</section> 90<section id="ftest"> 91<bookmark xml-lang="en-US" branch="index" id="bm_id3151390"><bookmark_value>FTEST function</bookmark_value> 92</bookmark> 93<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FTEST" id="bm_id3159263" localize="false"/> 94<paragraph xml-lang="en-US" id="hd_id3151390" role="heading" level="2" l10n="U" 95oldref="28">FTEST</paragraph> 96<paragraph xml-lang="en-US" id="par_id3150534" role="paragraph" l10n="U" oldref="29"><ahelp hid="HID_FUNC_FTEST">Returns the result of an F test.</ahelp></paragraph> 97<paragraph xml-lang="en-US" id="hd_id3166466" role="heading" level="3" l10n="U" 98oldref="30">Syntax</paragraph> 99<paragraph xml-lang="en-US" id="par_id3153024" role="code" l10n="U" oldref="31">FTEST(Data1; Data2)</paragraph> 100<paragraph xml-lang="en-US" id="par_id3150032" role="paragraph" l10n="U" oldref="32"> 101<emph>Data1</emph> is the first record array.</paragraph> 102<paragraph xml-lang="en-US" id="par_id3153018" role="paragraph" l10n="U" oldref="33"> 103<emph>Data2</emph> is the second record array.</paragraph> 104<paragraph xml-lang="en-US" id="hd_id3153123" role="heading" level="3" l10n="U" 105oldref="34">Example</paragraph> 106<paragraph xml-lang="en-US" id="par_id3159126" role="paragraph" l10n="U" oldref="35"> 107<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> 108</section> 109<section id="fdist"> 110<bookmark xml-lang="en-US" branch="index" id="bm_id3150372"><bookmark_value>FDIST function</bookmark_value> 111</bookmark> 112<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FVERT" id="bm_id3149722" localize="false"/> 113<paragraph xml-lang="en-US" id="hd_id3150372" role="heading" level="2" l10n="U" 114oldref="37">FDIST</paragraph> 115<paragraph xml-lang="en-US" id="par_id3152981" role="paragraph" l10n="U" oldref="38"><ahelp hid="HID_FUNC_FVERT">Calculates the values of an F distribution.</ahelp></paragraph> 116<paragraph xml-lang="en-US" id="hd_id3150484" role="heading" level="3" l10n="U" 117oldref="39">Syntax</paragraph> 118<paragraph xml-lang="en-US" id="par_id3145826" role="code" l10n="U" oldref="40">FDIST(Number; DegreesFreedom1; DegreesFreedom2)</paragraph> 119<paragraph xml-lang="en-US" id="par_id3150461" role="paragraph" l10n="U" oldref="41"> 120<emph>Number</emph> is the value for which the F distribution is to be calculated.</paragraph> 121<paragraph xml-lang="en-US" id="par_id3150029" role="paragraph" l10n="U" oldref="42"> 122<emph>degreesFreedom1</emph> is the degrees of freedom in the numerator in the F distribution.</paragraph> 123<paragraph xml-lang="en-US" id="par_id3146877" role="paragraph" l10n="U" oldref="43"> 124<emph>degreesFreedom2</emph> is the degrees of freedom in the denominator in the F distribution.</paragraph> 125<paragraph xml-lang="en-US" id="hd_id3147423" role="heading" level="3" l10n="U" 126oldref="44">Example</paragraph> 127<paragraph xml-lang="en-US" id="par_id3150696" role="paragraph" l10n="U" oldref="45"> 128<item type="input">=FDIST(0.8;8;12)</item> yields 0.61.</paragraph> 129</section> 130<section id="gamma"> 131<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMA" id="bm_id0119200903221254" localize="false"/> 132<bookmark xml-lang="en-US" branch="index" id="bm_id0119200903223192"><bookmark_value>GAMMA function</bookmark_value> 133</bookmark> 134<paragraph xml-lang="en-US" id="hd_id0119200903205393" role="heading" level="2" l10n="NEW">GAMMA</paragraph> 135<paragraph xml-lang="en-US" id="par_id0119200903205379" role="paragraph" l10n="NEW"><ahelp hid=".">Returns the Gamma function value.</ahelp> Note that GAMMAINV is not the inverse of GAMMA, but of GAMMADIST.</paragraph> 136<paragraph xml-lang="en-US" id="hd_id0119200903271613" role="heading" level="3" l10n="NEW">Syntax</paragraph> 137<paragraph xml-lang="en-US" id="par_id0119200903271614" role="paragraph" l10n="NEW"> 138<emph>Number</emph> is the number for which the Gamma function value is to be calculated.</paragraph> 139</section> 140<section id="gammainv"> 141<bookmark xml-lang="en-US" branch="index" id="bm_id3154841"><bookmark_value>GAMMAINV function</bookmark_value> 142</bookmark> 143<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMAINV" id="bm_id3149249" localize="false"/> 144<paragraph xml-lang="en-US" id="hd_id3154841" role="heading" level="2" l10n="U" 145oldref="47">GAMMAINV</paragraph> 146<paragraph xml-lang="en-US" id="par_id3153932" role="paragraph" l10n="U" oldref="48"><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> 147<paragraph xml-lang="en-US" id="hd_id3149949" role="heading" level="3" l10n="U" 148oldref="49">Syntax</paragraph> 149<paragraph xml-lang="en-US" id="par_id3155828" role="code" l10n="U" oldref="50">GAMMAINV(Number; Alpha; Beta)</paragraph> 150<paragraph xml-lang="en-US" id="par_id3145138" role="paragraph" l10n="U" oldref="51"> 151<emph>Number</emph> is the probability value for which the inverse Gamma distribution is to be calculated.</paragraph> 152<paragraph xml-lang="en-US" id="par_id3152785" role="paragraph" l10n="U" oldref="52"> 153<emph>Alpha</emph> is the parameter Alpha of the Gamma distribution.</paragraph> 154<paragraph xml-lang="en-US" id="par_id3154561" role="paragraph" l10n="U" oldref="53"> 155<emph>Beta</emph> is the parameter Beta of the Gamma distribution.</paragraph> 156<paragraph xml-lang="en-US" id="hd_id3148734" role="heading" level="3" l10n="U" 157oldref="54">Example</paragraph> 158<paragraph xml-lang="en-US" id="par_id3153331" role="paragraph" l10n="U" oldref="55"> 159<item type="input">=GAMMAINV(0.8;1;1)</item> yields 1.61.</paragraph> 160</section> 161<section id="gammaln"> 162<bookmark xml-lang="en-US" branch="index" id="bm_id3154806"><bookmark_value>GAMMALN function</bookmark_value> 163<bookmark_value>natural logarithm of Gamma function</bookmark_value> 164</bookmark><comment>mw added one entry</comment> 165<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMALN" id="bm_id3149511" localize="false"/> 166<paragraph xml-lang="en-US" id="hd_id3154806" role="heading" level="2" l10n="U" 167oldref="57">GAMMALN</paragraph> 168<paragraph xml-lang="en-US" id="par_id3148572" role="paragraph" l10n="U" oldref="58"><ahelp hid="HID_FUNC_GAMMALN">Returns the natural logarithm of the Gamma function: G(x).</ahelp></paragraph> 169<paragraph xml-lang="en-US" id="hd_id3152999" role="heading" level="3" l10n="U" 170oldref="59">Syntax</paragraph> 171<paragraph xml-lang="en-US" id="par_id3153112" role="code" l10n="U" oldref="60">GAMMALN(Number)</paragraph> 172<paragraph xml-lang="en-US" id="par_id3154502" role="paragraph" l10n="U" oldref="61"> 173<emph>Number</emph> is the value for which the natural logarithm of the Gamma function is to be calculated.</paragraph> 174<paragraph xml-lang="en-US" id="hd_id3153568" role="heading" level="3" l10n="U" 175oldref="62">Example</paragraph> 176<paragraph xml-lang="en-US" id="par_id3153730" role="paragraph" l10n="U" oldref="63"> 177<item type="input">=GAMMALN(2)</item> yields 0.</paragraph> 178</section> 179<section id="gammadist"> 180<bookmark xml-lang="en-US" branch="index" id="bm_id3150132"><bookmark_value>GAMMADIST function</bookmark_value> 181</bookmark> 182<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMAVERT" id="bm_id3154330" localize="false"/> 183<paragraph xml-lang="en-US" id="hd_id3150132" role="heading" level="2" l10n="U" 184oldref="65">GAMMADIST</paragraph> 185<paragraph xml-lang="en-US" id="par_id3155931" role="paragraph" l10n="U" oldref="66"><ahelp hid="HID_FUNC_GAMMAVERT">Returns the values of a Gamma distribution.</ahelp></paragraph> 186<paragraph xml-lang="en-US" id="par_id0119200903333675" role="paragraph" l10n="NEW">The inverse function is GAMMAINV.</paragraph> 187<paragraph xml-lang="en-US" id="hd_id3147373" role="heading" level="3" l10n="U" 188oldref="67">Syntax</paragraph> 189<paragraph xml-lang="en-US" id="par_id3155436" role="code" l10n="U" oldref="68">GAMMADIST(Number; Alpha; Beta; C)</paragraph> 190<paragraph xml-lang="en-US" id="par_id3150571" role="paragraph" l10n="U" oldref="69"> 191<emph>Number</emph> is the value for which the Gamma distribution is to be calculated.</paragraph> 192<paragraph xml-lang="en-US" id="par_id3145295" role="paragraph" l10n="U" oldref="70"> 193<emph>Alpha</emph> is the parameter Alpha of the Gamma distribution.</paragraph> 194<paragraph xml-lang="en-US" id="par_id3151015" role="paragraph" l10n="U" oldref="71"> 195<emph>Beta</emph> is the parameter Beta of the Gamma distribution</paragraph> 196<paragraph xml-lang="en-US" id="par_id3157972" role="paragraph" l10n="CHG" oldref="72"> 197<emph>C</emph> (optional) = 0 or False calculates the density function <emph>C</emph> = 1 or True calculates the distribution.</paragraph> 198<paragraph xml-lang="en-US" id="hd_id3149535" role="heading" level="3" l10n="U" 199oldref="73">Example</paragraph> 200<paragraph xml-lang="en-US" id="par_id3145354" role="paragraph" l10n="U" oldref="74"> 201<item type="input">=GAMMADIST(2;1;1;1)</item> yields 0.86.</paragraph> 202</section> 203<section id="gauss"> 204<bookmark xml-lang="en-US" branch="index" id="bm_id3150272"><bookmark_value>GAUSS function</bookmark_value> 205<bookmark_value>normal distribution; standard</bookmark_value> 206</bookmark><comment>mw added one entry</comment> 207<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAUSS" id="bm_id3149388" localize="false"/> 208<paragraph xml-lang="en-US" id="hd_id3150272" role="heading" level="2" l10n="U" 209oldref="76">GAUSS</paragraph> 210<paragraph xml-lang="en-US" id="par_id3149030" role="paragraph" l10n="U" oldref="77"><ahelp hid="HID_FUNC_GAUSS">Returns the standard normal cumulative distribution.</ahelp></paragraph> 211<paragraph xml-lang="en-US" id="par_id2059694" role="paragraph" l10n="NEW">It is GAUSS(x)=NORMSDIST(x)-0.5</paragraph> 212<paragraph xml-lang="en-US" id="hd_id3153551" role="heading" level="3" l10n="U" 213oldref="78">Syntax</paragraph> 214<paragraph xml-lang="en-US" id="par_id3155368" role="code" l10n="U" oldref="79">GAUSS(Number)</paragraph> 215<paragraph xml-lang="en-US" id="par_id3153228" role="paragraph" l10n="CHG" oldref="80"> 216<emph>Number</emph> is the value for which the value of the standard normal distribution is to be calculated.</paragraph> 217<paragraph xml-lang="en-US" id="hd_id3150691" role="heading" level="3" l10n="U" 218oldref="81">Example</paragraph> 219<paragraph xml-lang="en-US" id="par_id3154867" role="paragraph" l10n="U" oldref="82"> 220<item type="input">=GAUSS(0.19)</item> = 0.08</paragraph> 221<paragraph xml-lang="en-US" id="par_id3148594" role="paragraph" l10n="U" oldref="83"> 222<item type="input">=GAUSS(0.0375)</item> = 0.01</paragraph> 223</section> 224<section id="geomean"> 225<bookmark xml-lang="en-US" branch="index" id="bm_id3148425"><bookmark_value>GEOMEAN function</bookmark_value> 226<bookmark_value>means;geometric</bookmark_value> 227</bookmark><comment>mw added one entry</comment> 228<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GEOMITTEL" id="bm_id3149777" localize="false"/> 229<paragraph xml-lang="en-US" id="hd_id3148425" role="heading" level="2" l10n="U" 230oldref="85">GEOMEAN</paragraph> 231<paragraph xml-lang="en-US" id="par_id3156257" role="paragraph" l10n="U" oldref="86"><ahelp hid="HID_FUNC_GEOMITTEL">Returns the geometric mean of a sample.</ahelp></paragraph> 232<paragraph xml-lang="en-US" id="hd_id3147167" role="heading" level="3" l10n="U" 233oldref="87">Syntax</paragraph> 234<paragraph xml-lang="en-US" id="par_id3153720" role="code" l10n="U" oldref="88">GEOMEAN(Number1; Number2; ...Number30)</paragraph> 235<paragraph xml-lang="en-US" id="par_id3152585" role="paragraph" l10n="CHG" oldref="89"> 236<emph>Number1, Number2,...Number30</emph> are numeric arguments or ranges that represent a random sample.</paragraph> 237<paragraph xml-lang="en-US" id="hd_id3146146" role="heading" level="3" l10n="U" 238oldref="90">Example</paragraph> 239<paragraph xml-lang="en-US" id="par_id3149819" role="paragraph" l10n="U" oldref="92"> 240<item type="input">=GEOMEAN(23;46;69)</item> = 41.79. The geometric mean value of this random sample is therefore 41.79.</paragraph> 241</section> 242<section id="trimmean"> 243<bookmark xml-lang="en-US" branch="index" id="bm_id3152966"><bookmark_value>TRIMMEAN function</bookmark_value> 244<bookmark_value>means;of data set without margin data</bookmark_value> 245</bookmark><comment>mw added one entry</comment> 246<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GESTUTZTMITTEL" id="bm_id3145081" localize="false"/> 247<paragraph xml-lang="en-US" id="hd_id3152966" role="heading" level="2" l10n="U" 248oldref="94">TRIMMEAN</paragraph> 249<paragraph xml-lang="en-US" id="par_id3149716" role="paragraph" 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> 250<paragraph xml-lang="en-US" id="hd_id3149281" role="heading" level="3" l10n="U" 251oldref="96">Syntax</paragraph> 252<paragraph xml-lang="en-US" id="par_id3154821" role="code" l10n="U" oldref="97">TRIMMEAN(Data; Alpha)</paragraph> 253<paragraph xml-lang="en-US" id="par_id3155834" role="paragraph" l10n="U" oldref="98"> 254<emph>Data</emph> is the array of data in the sample.</paragraph> 255<paragraph xml-lang="en-US" id="par_id3156304" role="paragraph" l10n="U" oldref="99"> 256<emph>Alpha</emph> is the percentage of the marginal data that will not be taken into consideration.</paragraph> 257<paragraph xml-lang="en-US" id="hd_id3151180" role="heading" level="3" l10n="U" 258oldref="100">Example</paragraph> 259<paragraph xml-lang="en-US" id="par_id3156130" role="paragraph" l10n="U" oldref="101"> 260<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> 261</section> 262<section id="ztest"> 263<bookmark xml-lang="en-US" branch="index" id="bm_id3153216"><bookmark_value>ZTEST function</bookmark_value> 264</bookmark> 265<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GTEST" id="bm_id3147569" localize="false"/> 266<paragraph xml-lang="en-US" id="hd_id3153216" role="heading" level="2" l10n="U" 267oldref="103">ZTEST</paragraph> 268<paragraph xml-lang="en-US" id="par_id3150758" role="paragraph" l10n="CHG" oldref="104"><ahelp hid="HID_FUNC_GTEST">Calculates the probability of observing a z-statistic greater than the one computed based on a sample.</ahelp></paragraph> 269<paragraph xml-lang="en-US" id="hd_id3150872" role="heading" level="3" l10n="U" 270oldref="105">Syntax</paragraph> 271<paragraph xml-lang="en-US" id="par_id3153274" role="code" l10n="CHG" oldref="106">ZTEST(Data; mu; Sigma)</paragraph> 272<paragraph xml-lang="en-US" id="par_id3156109" role="paragraph" l10n="CHG" oldref="107"> 273<emph>Data</emph> is the given sample, drawn from a normally distributed population.</paragraph> 274<paragraph xml-lang="en-US" id="par_id3149977" role="paragraph" l10n="CHG" oldref="108"> 275<emph>mu</emph> is the known mean of the population.</paragraph> 276<paragraph xml-lang="en-US" id="par_id3154740" role="paragraph" l10n="CHG" oldref="109"> 277<emph>Sigma</emph> (optional) is the known standard deviation of the population. If omitted, the standard deviation of the given sample is used.</paragraph> 278<paragraph xml-lang="en-US" id="par_id0305200911372999" role="paragraph" l10n="NEW">See also the <link href="https://wiki.openoffice.org/wiki/Documentation/How_Tos/Calc:_ZTEST_function">Wiki page</link>.</paragraph> 279</section> 280<section id="harmean"> 281<bookmark xml-lang="en-US" branch="index" id="bm_id3153623"><bookmark_value>HARMEAN function</bookmark_value> 282<bookmark_value>means;harmonic</bookmark_value> 283</bookmark><comment>mw added one entry</comment> 284<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_HARMITTEL" id="bm_id3154052" localize="false"/> 285<paragraph xml-lang="en-US" id="hd_id3153623" role="heading" level="2" l10n="U" 286oldref="113">HARMEAN</paragraph> 287<paragraph xml-lang="en-US" id="par_id3155102" role="paragraph" l10n="U" oldref="114"><ahelp hid="HID_FUNC_HARMITTEL">Returns the harmonic mean of a data set.</ahelp></paragraph> 288<paragraph xml-lang="en-US" id="hd_id3146900" role="heading" level="3" l10n="U" 289oldref="115">Syntax</paragraph> 290<paragraph xml-lang="en-US" id="par_id3149287" role="code" l10n="U" oldref="116">HARMEAN(Number1; Number2; ...Number30)</paragraph> 291<paragraph xml-lang="en-US" id="par_id3154303" role="paragraph" l10n="CHG" oldref="117"> 292<emph>Number1,Number2,...Number30</emph> are up to 30 values or ranges, that can be used to calculate the harmonic mean.</paragraph> 293<paragraph xml-lang="en-US" id="hd_id3159179" role="heading" level="3" l10n="U" 294oldref="118">Example</paragraph> 295<paragraph xml-lang="en-US" id="par_id3146093" role="paragraph" l10n="U" oldref="120"> 296<item type="input">=HARMEAN(23;46;69)</item> = 37.64. The harmonic mean of this random sample is thus 37.64</paragraph> 297</section> 298<section id="hypgeomdist"> 299<bookmark xml-lang="en-US" branch="index" id="bm_id3152801"><bookmark_value>HYPGEOMDIST function</bookmark_value> 300<bookmark_value>sampling without replacement</bookmark_value> 301</bookmark><comment>mw added one entry</comment> 302<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_HYPGEOMVERT" id="bm_id3153910" localize="false"/> 303<paragraph xml-lang="en-US" id="hd_id3152801" role="heading" level="2" l10n="U" 304oldref="122">HYPGEOMDIST</paragraph> 305<paragraph xml-lang="en-US" id="par_id3159341" role="paragraph" l10n="U" oldref="123"><ahelp hid="HID_FUNC_HYPGEOMVERT">Returns the hypergeometric distribution.</ahelp></paragraph> 306<paragraph xml-lang="en-US" id="hd_id3154697" role="heading" level="3" l10n="U" 307oldref="124">Syntax</paragraph> 308<paragraph xml-lang="en-US" id="par_id3155388" role="code" l10n="U" oldref="125">HYPGEOMDIST(X; NSample; Successes; NPopulation)</paragraph> 309<paragraph xml-lang="en-US" id="par_id3154933" role="paragraph" l10n="U" oldref="126"> 310<emph>X</emph> is the number of results achieved in the random sample.</paragraph> 311<paragraph xml-lang="en-US" id="par_id3153106" role="paragraph" l10n="U" oldref="127"> 312<emph>NSample</emph> is the size of the random sample.</paragraph> 313<paragraph xml-lang="en-US" id="par_id3146992" role="paragraph" l10n="U" oldref="128"> 314<emph>Successes</emph> is the number of possible results in the total population.</paragraph> 315<paragraph xml-lang="en-US" id="par_id3148826" role="paragraph" l10n="U" oldref="129"> 316<emph>NPopulation </emph>is the size of the total population.</paragraph> 317<paragraph xml-lang="en-US" id="hd_id3150529" role="heading" level="3" l10n="U" 318oldref="130">Example</paragraph> 319<paragraph xml-lang="en-US" id="par_id3154904" role="paragraph" l10n="U" oldref="131"> 320<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> 321</section> 322</sort> 323<section id="relatedtopics"> 324<embed href="text/scalc/01/04060100.xhp#drking"/> 325</section> 326</body> 327</helpdocument> 328