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="textscalc0104060183xml" indexer="include"> 27<title id="tit" xml-lang="en-US">Statistical Functions Part Three</title> 28<filename>/text/scalc/01/04060183.xhp</filename> 29</topic> 30</meta> 31<body> 32<paragraph role="heading" id="hd_id3166425" xml-lang="en-US" level="1" l10n="U" oldref="1"><variable id="kl"><link href="text/scalc/01/04060183.xhp" name="Statistical Functions Part Three">Statistical Functions Part Three</link> 33</variable></paragraph> 34<sort order="asc"> 35<section id="large"> 36<bookmark xml-lang="en-US" branch="index" id="bm_id3149530"><bookmark_value>LARGE function</bookmark_value> 37</bookmark> 38<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_KGROESSTE" id="bm_id3150883" localize="false"/> 39<paragraph role="heading" id="hd_id3149530" xml-lang="en-US" level="2" l10n="U" oldref="2">LARGE</paragraph> 40<paragraph role="paragraph" id="par_id3150518" xml-lang="en-US" l10n="U" oldref="3"><ahelp hid="HID_FUNC_KGROESSTE">Returns the Rank_c-th largest value in a data set.</ahelp></paragraph> 41<paragraph role="heading" id="hd_id3152990" xml-lang="en-US" level="3" l10n="U" oldref="4">Syntax</paragraph> 42<paragraph role="code" id="par_id3154372" xml-lang="en-US" l10n="U" oldref="5">LARGE(Data; RankC)</paragraph> 43<paragraph role="paragraph" id="par_id3152986" xml-lang="en-US" l10n="U" oldref="6"> 44<emph>Data</emph> is the cell range of data.</paragraph> 45<paragraph role="paragraph" id="par_id3156448" xml-lang="en-US" l10n="U" oldref="7"> 46<emph>RankC</emph> is the ranking of the value.</paragraph> 47<paragraph role="heading" id="hd_id3152889" xml-lang="en-US" level="3" l10n="U" oldref="8">Example</paragraph> 48<paragraph role="paragraph" id="par_id3148702" xml-lang="en-US" l10n="U" oldref="9"> 49<item type="input">=LARGE(A1:C50;2)</item> gives the second largest value in A1:C50.</paragraph> 50</section> 51<section id="small"> 52<bookmark xml-lang="en-US" branch="index" id="bm_id3154532"><bookmark_value>SMALL function</bookmark_value> 53</bookmark> 54<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_KKLEINSTE" id="bm_id3148609" localize="false"/> 55<paragraph role="heading" id="hd_id3154532" xml-lang="en-US" level="2" l10n="U" oldref="11">SMALL</paragraph> 56<paragraph role="paragraph" id="par_id3157981" xml-lang="en-US" l10n="U" oldref="12"><ahelp hid="HID_FUNC_KKLEINSTE">Returns the Rank_c-th smallest value in a data set.</ahelp></paragraph> 57<paragraph role="heading" id="hd_id3154957" xml-lang="en-US" level="3" l10n="U" oldref="13">Syntax</paragraph> 58<paragraph role="code" id="par_id3153974" xml-lang="en-US" l10n="U" oldref="14">SMALL(Data; RankC)</paragraph> 59<paragraph role="paragraph" id="par_id3154540" xml-lang="en-US" l10n="U" oldref="15"> 60<emph>Data</emph> is the cell range of data.</paragraph> 61<paragraph role="paragraph" id="par_id3155094" xml-lang="en-US" l10n="U" oldref="16"> 62<emph>RankC</emph> is the rank of the value.</paragraph> 63<paragraph role="heading" id="hd_id3153247" xml-lang="en-US" level="3" l10n="U" oldref="17">Example</paragraph> 64<paragraph role="paragraph" id="par_id3149897" xml-lang="en-US" l10n="U" oldref="18"> 65<item type="input">=SMALL(A1:C50;2)</item> gives the second smallest value in A1:C50.</paragraph> 66</section> 67<section id="confidence"> 68<bookmark xml-lang="en-US" branch="index" id="bm_id3153559"><bookmark_value>CONFIDENCE function</bookmark_value> 69</bookmark> 70<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_KONFIDENZ" id="bm_id3153803" localize="false"/> 71<paragraph role="heading" id="hd_id3153559" xml-lang="en-US" level="2" l10n="U" oldref="20">CONFIDENCE</paragraph> 72<paragraph role="paragraph" id="par_id3153814" xml-lang="en-US" l10n="U" oldref="21"><ahelp hid="HID_FUNC_KONFIDENZ">Returns the (1-alpha) confidence interval for a normal distribution.</ahelp></paragraph> 73<paragraph role="heading" id="hd_id3149315" xml-lang="en-US" level="3" l10n="U" oldref="22">Syntax</paragraph> 74<paragraph role="code" id="par_id3147501" xml-lang="en-US" l10n="U" oldref="23">CONFIDENCE(Alpha; StDev; Size)</paragraph> 75<paragraph role="paragraph" id="par_id3149872" xml-lang="en-US" l10n="U" oldref="24"> 76<emph>Alpha</emph> is the level of the confidence interval.</paragraph> 77<paragraph role="paragraph" id="par_id3145324" xml-lang="en-US" l10n="U" oldref="25"> 78<emph>StDev</emph> is the standard deviation for the total population.</paragraph> 79<paragraph role="paragraph" id="par_id3153075" xml-lang="en-US" l10n="U" oldref="26"> 80<emph>Size</emph> is the size of the total population.</paragraph> 81<paragraph role="heading" id="hd_id3150435" xml-lang="en-US" level="3" l10n="U" oldref="27">Example</paragraph> 82<paragraph role="paragraph" id="par_id3153335" xml-lang="en-US" l10n="U" oldref="28"> 83<item type="input">=CONFIDENCE(0.05;1.5;100)</item> gives 0.29.</paragraph> 84</section> 85<section id="correl"> 86<bookmark xml-lang="en-US" branch="index" id="bm_id3148746"><bookmark_value>CORREL function</bookmark_value> 87<bookmark_value>coefficient of correlation</bookmark_value> 88</bookmark><comment>mw added one entry</comment> 89<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_KORREL" id="bm_id3147403" localize="false"/> 90<paragraph role="heading" id="hd_id3148746" xml-lang="en-US" level="2" l10n="U" oldref="30">CORREL</paragraph> 91<paragraph role="paragraph" id="par_id3147299" xml-lang="en-US" l10n="U" oldref="31"><ahelp hid="HID_FUNC_KORREL">Returns the correlation coefficient between two data sets.</ahelp></paragraph> 92<paragraph role="heading" id="hd_id3156397" xml-lang="en-US" level="3" l10n="U" oldref="32">Syntax</paragraph> 93<paragraph role="code" id="par_id3153023" xml-lang="en-US" l10n="U" oldref="33">CORREL(Data1; Data2)</paragraph> 94<paragraph role="paragraph" id="par_id3150036" xml-lang="en-US" l10n="U" oldref="34"> 95<emph>Data1</emph> is the first data set.</paragraph> 96<paragraph role="paragraph" id="par_id3153021" xml-lang="en-US" l10n="U" oldref="35"> 97<emph>Data2</emph> is the second data set.</paragraph> 98<paragraph role="heading" id="hd_id3149720" xml-lang="en-US" level="3" l10n="U" oldref="36">Example</paragraph> 99<paragraph role="paragraph" id="par_id3149941" xml-lang="en-US" l10n="U" oldref="37"> 100<item type="input">=CORREL(A1:A50;B1:B50)</item> calculates the correlation coefficient as a measure of the linear correlation of the two data sets.</paragraph> 101</section> 102<section id="covar"> 103<bookmark xml-lang="en-US" branch="index" id="bm_id3150652"><bookmark_value>COVAR function</bookmark_value> 104</bookmark> 105<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_KOVAR" id="bm_id3152983" localize="false"/> 106<paragraph role="heading" id="hd_id3150652" xml-lang="en-US" level="2" l10n="U" oldref="39">COVAR</paragraph> 107<paragraph role="paragraph" id="par_id3146875" xml-lang="en-US" l10n="U" oldref="40"><ahelp hid="HID_FUNC_KOVAR">Returns the covariance of the product of paired deviations.</ahelp></paragraph> 108<paragraph role="heading" id="hd_id3149013" xml-lang="en-US" level="3" l10n="U" oldref="41">Syntax</paragraph> 109<paragraph role="code" id="par_id3150740" xml-lang="en-US" l10n="U" oldref="42">COVAR(Data1; Data2)</paragraph> 110<paragraph role="paragraph" id="par_id3145827" xml-lang="en-US" l10n="U" oldref="43"> 111<emph>Data1</emph> is the first data set.</paragraph> 112<paragraph role="paragraph" id="par_id3150465" xml-lang="en-US" l10n="U" oldref="44"> 113<emph>Data2</emph> is the second data set.</paragraph> 114<paragraph role="heading" id="hd_id3154677" xml-lang="en-US" level="3" l10n="U" oldref="45">Example</paragraph> 115<paragraph role="paragraph" id="par_id3144748" xml-lang="en-US" l10n="U" oldref="46"> 116<item type="input">=COVAR(A1:A30;B1:B30)</item> 117</paragraph> 118</section> 119<section id="critbinom"> 120<bookmark xml-lang="en-US" branch="index" id="bm_id3147472"><bookmark_value>CRITBINOM function</bookmark_value> 121</bookmark> 122<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_KRITBINOM" id="bm_id3154848" localize="false"/> 123<paragraph role="heading" id="hd_id3147472" xml-lang="en-US" level="2" l10n="U" oldref="48">CRITBINOM</paragraph> 124<paragraph role="paragraph" id="par_id3149254" xml-lang="en-US" l10n="U" oldref="49"><ahelp hid="HID_FUNC_KRITBINOM">Returns the smallest value for which the cumulative binomial distribution is less than or equal to a criterion value.</ahelp></paragraph> 125<paragraph role="heading" id="hd_id3153930" xml-lang="en-US" level="3" l10n="U" oldref="50">Syntax</paragraph> 126<paragraph role="code" id="par_id3148586" xml-lang="en-US" l10n="U" oldref="51">CRITBINOM(Trials; SP; Alpha)</paragraph> 127<paragraph role="paragraph" id="par_id3145593" xml-lang="en-US" l10n="U" oldref="52"> 128<emph>Trials</emph> is the total number of trials.</paragraph> 129<paragraph role="paragraph" id="par_id3153084" xml-lang="en-US" l10n="U" oldref="53"> 130<emph>SP</emph> is the probability of success for one trial.</paragraph> 131<paragraph role="paragraph" id="par_id3149726" xml-lang="en-US" l10n="U" oldref="54"> 132<emph>Alpha</emph> is the threshold probability to be reached or exceeded.</paragraph> 133<paragraph role="heading" id="hd_id3148752" xml-lang="en-US" level="3" l10n="U" oldref="55">Example</paragraph> 134<paragraph role="paragraph" id="par_id3148740" xml-lang="en-US" l10n="U" oldref="56"> 135<item type="input">=CRITBINOM(100;0.5;0.1)</item> yields 44.</paragraph> 136</section> 137<section id="kurt"> 138<bookmark xml-lang="en-US" branch="index" id="bm_id3155956"><bookmark_value>KURT function</bookmark_value> 139</bookmark> 140<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_KURT" id="bm_id3146847" localize="false"/> 141<paragraph role="heading" id="hd_id3155956" xml-lang="en-US" level="2" l10n="U" oldref="58">KURT</paragraph> 142<paragraph role="paragraph" id="par_id3153108" xml-lang="en-US" l10n="U" oldref="59"><ahelp hid="HID_FUNC_KURT">Returns the kurtosis of a data set (at least 4 values required).</ahelp></paragraph> 143<paragraph role="heading" id="hd_id3150334" xml-lang="en-US" level="3" l10n="U" oldref="60">Syntax</paragraph> 144<paragraph role="code" id="par_id3154508" xml-lang="en-US" l10n="U" oldref="61">KURT(Number1; Number2; ...Number30)</paragraph> 145<paragraph role="paragraph" id="par_id3145167" xml-lang="en-US" l10n="CHG" oldref="62"> 146<emph>Number1,Number2,...Number30</emph> are numeric arguments or ranges representing a random sample of distribution.</paragraph> 147<paragraph role="heading" id="hd_id3158000" xml-lang="en-US" level="3" l10n="U" oldref="63">Example</paragraph> 148<paragraph role="paragraph" id="par_id3150016" xml-lang="en-US" l10n="U" oldref="64"> 149<item type="input">=KURT(A1;A2;A3;A4;A5;A6)</item> 150</paragraph> 151</section> 152<section id="loginv"> 153<bookmark xml-lang="en-US" branch="index" id="bm_id3150928"><bookmark_value>LOGINV function</bookmark_value> 154<bookmark_value>inverse of lognormal distribution</bookmark_value> 155</bookmark><comment>mw added one entry</comment> 156<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_LOGINV" id="bm_id3156062" localize="false"/> 157<paragraph role="heading" id="hd_id3150928" xml-lang="en-US" level="2" l10n="U" oldref="66">LOGINV</paragraph> 158<paragraph role="paragraph" id="par_id3145297" xml-lang="en-US" l10n="U" oldref="67"><ahelp hid="HID_FUNC_LOGINV">Returns the inverse of the lognormal distribution.</ahelp></paragraph> 159<paragraph role="heading" id="hd_id3151016" xml-lang="en-US" level="3" l10n="U" oldref="68">Syntax</paragraph> 160<paragraph role="code" id="par_id3153049" xml-lang="en-US" l10n="U" oldref="69">LOGINV(Number; Mean; StDev)</paragraph> 161<paragraph role="paragraph" id="par_id3148390" xml-lang="en-US" l10n="U" oldref="70"> 162<emph>Number</emph> is the probability value for which the inverse standard logarithmic distribution is to be calculated.</paragraph> 163<paragraph role="paragraph" id="par_id3149538" xml-lang="en-US" l10n="U" oldref="71"> 164<emph>Mean</emph> is the arithmetic mean of the standard logarithmic distribution.</paragraph> 165<paragraph role="paragraph" id="par_id3145355" xml-lang="en-US" l10n="U" oldref="72"> 166<emph>StDev</emph> is the standard deviation of the standard logarithmic distribution.</paragraph> 167<paragraph role="heading" id="hd_id3148768" xml-lang="en-US" level="3" l10n="U" oldref="73">Example</paragraph> 168<paragraph role="paragraph" id="par_id3155623" xml-lang="en-US" l10n="U" oldref="74"> 169<item type="input">=LOGINV(0.05;0;1)</item> returns 0.19.</paragraph> 170</section> 171<section id="lognormdist"> 172<bookmark xml-lang="en-US" branch="index" id="bm_id3158417"><bookmark_value>LOGNORMDIST function</bookmark_value> 173<bookmark_value>cumulative lognormal distribution</bookmark_value> 174</bookmark><comment>mw added one entry</comment> 175<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_LOGNORMVERT" id="bm_id3155366" localize="false"/> 176<paragraph role="heading" id="hd_id3158417" xml-lang="en-US" level="2" l10n="U" oldref="76">LOGNORMDIST</paragraph> 177<paragraph role="paragraph" id="par_id3154953" xml-lang="en-US" l10n="U" oldref="77"><ahelp hid="HID_FUNC_LOGNORMVERT">Returns the cumulative lognormal distribution.</ahelp></paragraph> 178<paragraph role="heading" id="hd_id3150474" xml-lang="en-US" level="3" l10n="U" oldref="78">Syntax</paragraph> 179<paragraph role="code" id="par_id3150686" xml-lang="en-US" l10n="U" oldref="79">LOGNORMDIST(Number; Mean; StDev; Cumulative)</paragraph> 180<paragraph role="paragraph" id="par_id3154871" xml-lang="en-US" l10n="U" oldref="80"> 181<emph>Number</emph> is the probability value for which the standard logarithmic distribution is to be calculated.</paragraph> 182<paragraph role="paragraph" id="par_id3155820" xml-lang="en-US" l10n="U" oldref="81"> 183<emph>Mean</emph> (optional) is the mean value of the standard logarithmic distribution.</paragraph> 184<paragraph role="paragraph" id="par_id3155991" xml-lang="en-US" l10n="U" oldref="82"> 185<emph>StDev</emph> (optional) is the standard deviation of the standard logarithmic distribution.</paragraph> 186<paragraph role="paragraph" id="par_id3155992" xml-lang="en-US" l10n="NEW"> 187<emph>Cumulative</emph> (optional) = 0 calculates the density function, Cumulative = 1 calculates the distribution.</paragraph> 188<paragraph role="heading" id="hd_id3153178" xml-lang="en-US" level="3" l10n="U" oldref="83">Example</paragraph> 189<paragraph role="paragraph" id="par_id3149778" xml-lang="en-US" l10n="U" oldref="84"> 190<item type="input">=LOGNORMDIST(0.1;0;1)</item> returns 0.01.</paragraph> 191</section> 192</sort> 193<section id="relatedtopics"> 194<embed href="text/scalc/01/04060100.xhp#drking"/> 195</section> 196</body> 197</helpdocument> 198