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="textscalc0104060185xml" indexer="include"> 27<title xml-lang="en-US" id="tit">Statistical Functions Part Five</title> 28<filename>/text/scalc/01/04060185.xhp</filename> 29</topic> 30</meta> 31<body> 32<paragraph xml-lang="en-US" id="hd_id3147072" role="heading" level="1" l10n="U" oldref="1"><variable id="rz"><link href="text/scalc/01/04060185.xhp" name="Statistical Functions Part Five">Statistical Functions Part Five</link> 33</variable></paragraph> 34<sort order="asc"> 35<section id="rank"> 36<bookmark xml-lang="en-US" branch="index" id="bm_id3155071"> 37<bookmark_value>RANK function</bookmark_value> 38<bookmark_value>numbers;determining ranks</bookmark_value> 39</bookmark> 40<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_RANG" id="bm_id3146778" localize="false"/> 41<paragraph xml-lang="en-US" id="hd_id3155071" role="heading" level="2" l10n="U" oldref="2">RANK</paragraph> 42<paragraph xml-lang="en-US" id="par_id3153976" role="paragraph" l10n="U" oldref="3"><ahelp hid="HID_FUNC_RANG">Returns the rank of a number in a sample.</ahelp></paragraph> 43<paragraph xml-lang="en-US" id="hd_id3159206" role="heading" level="3" l10n="U" oldref="4">Syntax</paragraph> 44<paragraph xml-lang="en-US" id="par_id3153250" role="code" l10n="U" oldref="5">RANK(Value; Data; Type)</paragraph> 45<paragraph xml-lang="en-US" id="par_id3154543" role="paragraph" l10n="U" oldref="6"> 46<emph>Value</emph> is the value, whose rank is to be determined.</paragraph> 47<paragraph xml-lang="en-US" id="par_id3149130" role="paragraph" l10n="U" oldref="7"> 48<emph>Data</emph> is the array or range of data in the sample.</paragraph> 49<paragraph xml-lang="en-US" id="par_id3150215" role="paragraph" l10n="CHG" oldref="8"> 50<emph>Type</emph> (optional) is the sequence order.</paragraph> 51<paragraph xml-lang="en-US" id="par_id9305398" role="paragraph" l10n="NEW">Type = 0 means descending from the last item of the array to the first (this is the default), </paragraph> 52<paragraph xml-lang="en-US" id="par_id9996948" role="paragraph" l10n="NEW">Type = 1 means ascending from the first item of the range to the last.</paragraph> 53<paragraph xml-lang="en-US" id="hd_id3143223" role="heading" level="3" l10n="U" oldref="9">Example</paragraph> 54<paragraph xml-lang="en-US" id="par_id3155919" role="paragraph" l10n="U" oldref="10"> 55<item type="input">=RANK(A10;A1:A50)</item> returns the ranking of the value in A10 in value range A1:A50. If <item type="literal">Value</item> does not exist within the range an error message is displayed.</paragraph> 56</section> 57<section id="skew"> 58<bookmark xml-lang="en-US" branch="index" id="bm_id3153556"><bookmark_value>SKEW function</bookmark_value> 59</bookmark> 60<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_SCHIEFE" id="bm_id3153801" localize="false"/> 61<paragraph xml-lang="en-US" id="hd_id3153556" role="heading" level="2" l10n="U" 62oldref="12">SKEW</paragraph> 63<paragraph xml-lang="en-US" id="par_id3153485" role="paragraph" l10n="U" oldref="13"><ahelp hid="HID_FUNC_SCHIEFE">Returns the skewness of a distribution.</ahelp></paragraph> 64<paragraph xml-lang="en-US" id="hd_id3154733" role="heading" level="3" l10n="U" 65oldref="14">Syntax</paragraph> 66<paragraph xml-lang="en-US" id="par_id3151191" role="code" l10n="U" oldref="15">SKEW(Number1; Number2; ...Number30)</paragraph> 67<paragraph xml-lang="en-US" id="par_id3155757" role="paragraph" l10n="CHG" oldref="16"> 68<emph>Number1, Number2...Number30</emph> are numerical values or ranges.</paragraph> 69<paragraph xml-lang="en-US" id="hd_id3153297" role="heading" level="3" l10n="U" 70oldref="17">Example</paragraph> 71<paragraph xml-lang="en-US" id="par_id3145118" role="paragraph" l10n="U" oldref="18"> 72<item type="input">=SKEW(A1:A50)</item> calculates the value of skew for the data referenced.</paragraph> 73</section> 74<section id="forecast"> 75<bookmark xml-lang="en-US" branch="index" id="bm_id3149051"><bookmark_value>regression lines;FORECAST function</bookmark_value> 76<bookmark_value>extrapolations</bookmark_value> 77<bookmark_value>FORECAST function</bookmark_value> 78</bookmark> 79<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_SCHAETZER" id="bm_id3146102" localize="false"/><comment>mw made "regression lines" a two level entry</comment> 80<paragraph xml-lang="en-US" id="hd_id3149051" role="heading" level="2" l10n="U" 81oldref="20">FORECAST</paragraph> 82<paragraph xml-lang="en-US" id="par_id3153290" role="paragraph" l10n="U" oldref="21"><ahelp hid="HID_FUNC_SCHAETZER">Extrapolates future values based on existing x and y values.</ahelp></paragraph> 83<paragraph xml-lang="en-US" id="hd_id3151343" role="heading" level="3" l10n="U" 84oldref="22">Syntax</paragraph> 85<paragraph xml-lang="en-US" id="par_id3147404" role="code" l10n="U" oldref="23">FORECAST(Value; DataY; DataX)</paragraph> 86<paragraph xml-lang="en-US" id="par_id3148743" role="paragraph" l10n="U" oldref="24"> 87<emph>Value</emph> is the x value, for which the y value on the linear regression is to be returned.</paragraph> 88<paragraph xml-lang="en-US" id="par_id3146325" role="paragraph" l10n="U" oldref="25"> 89<emph>DataY</emph> is the array or range of known y's.</paragraph> 90<paragraph xml-lang="en-US" id="par_id3150536" role="paragraph" l10n="U" oldref="26"> 91<emph>DataX</emph> is the array or range of known x's.</paragraph> 92<paragraph xml-lang="en-US" id="hd_id3147416" role="heading" level="3" l10n="U" 93oldref="27">Example</paragraph> 94<paragraph xml-lang="en-US" id="par_id3157874" role="paragraph" l10n="U" oldref="28"> 95<item type="input">=FORECAST(50;A1:A50;B1;B50)</item> returns the Y value expected for the X value of 50 if the X and Y values in both references are linked by a linear trend.</paragraph> 96</section> 97<section id="stdev"> 98<bookmark xml-lang="en-US" branch="index" id="bm_id3149143"><bookmark_value>STDEV function</bookmark_value> 99<bookmark_value>standard deviations in statistics;based on a sample</bookmark_value> 100</bookmark> 101<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STABW" id="bm_id3153121" localize="false"/> 102<paragraph xml-lang="en-US" id="hd_id3149143" role="heading" level="2" l10n="U" 103oldref="30">STDEV</paragraph> 104<paragraph xml-lang="en-US" id="par_id3146888" role="paragraph" l10n="U" oldref="31"><ahelp hid="HID_FUNC_STABW">Estimates the standard deviation based on a sample.</ahelp></paragraph> 105<paragraph xml-lang="en-US" id="hd_id3146815" role="heading" level="3" l10n="U" 106oldref="32">Syntax</paragraph> 107<paragraph xml-lang="en-US" id="par_id3149946" role="code" l10n="U" oldref="33">STDEV(Number1;Number2;...Number30)</paragraph> 108<paragraph xml-lang="en-US" id="par_id3157904" role="paragraph" l10n="CHG" oldref="34"> 109<emph>Number1, Number2, ... Number30</emph> are numerical values or ranges representing a sample based on an entire population.</paragraph> 110<paragraph xml-lang="en-US" id="hd_id3150650" role="heading" level="3" l10n="U" 111oldref="35">Example</paragraph> 112<paragraph xml-lang="en-US" id="par_id3149434" role="paragraph" l10n="U" oldref="36"> 113<item type="input">=STDEV(A1:A50)</item> returns the estimated standard deviation based on the data referenced.</paragraph> 114</section> 115<section id="stdeva"> 116<bookmark xml-lang="en-US" branch="index" id="bm_id3144745"><bookmark_value>STDEVA function</bookmark_value> 117</bookmark> 118<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STABWA" id="bm_id3154846" localize="false"/> 119<paragraph xml-lang="en-US" id="hd_id3144745" role="heading" level="2" l10n="U" 120oldref="186">STDEVA</paragraph> 121<paragraph xml-lang="en-US" id="par_id3151234" role="paragraph" l10n="U" oldref="187"><ahelp hid="HID_FUNC_STABWA">Calculates the standard deviation of an estimation based on a sample.</ahelp></paragraph> 122<paragraph xml-lang="en-US" id="hd_id3148884" role="heading" level="3" l10n="U" 123oldref="188">Syntax</paragraph> 124<paragraph xml-lang="en-US" id="par_id3147422" role="code" l10n="U" oldref="189">STDEVA(Value1;Value2;...Value30)</paragraph> 125<paragraph xml-lang="en-US" id="par_id3154547" role="paragraph" l10n="CHG" oldref="190"> 126<emph>Value1, Value2, ...Value30</emph> are values or ranges representing a sample derived from an entire population. Text has the value 0.</paragraph> 127<paragraph xml-lang="en-US" id="hd_id3155829" role="heading" level="3" l10n="U" 128oldref="191">Example</paragraph> 129<paragraph xml-lang="en-US" id="par_id3148581" role="paragraph" l10n="U" oldref="192"> 130<item type="input">=STDEVA(A1:A50)</item> returns the estimated standard deviation based on the data referenced.</paragraph> 131</section> 132<section id="stdevp"> 133<bookmark xml-lang="en-US" branch="index" id="bm_id3149734"><bookmark_value>STDEVP function</bookmark_value> 134<bookmark_value>standard deviations in statistics;based on a population</bookmark_value> 135</bookmark> 136<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STABWN" id="bm_id3146139" localize="false"/> 137<paragraph xml-lang="en-US" id="hd_id3149734" role="heading" level="2" l10n="U" 138oldref="38">STDEVP</paragraph> 139<paragraph xml-lang="en-US" id="par_id3149187" role="paragraph" l10n="U" oldref="39"><ahelp hid="HID_FUNC_STABWN">Calculates the standard deviation based on the entire population.</ahelp></paragraph> 140<paragraph xml-lang="en-US" id="hd_id3154387" role="heading" level="3" l10n="U" 141oldref="40">Syntax</paragraph> 142<paragraph xml-lang="en-US" id="par_id3154392" role="code" l10n="U" oldref="41">STDEVP(Number1;Number2;...Number30)</paragraph> 143<paragraph xml-lang="en-US" id="par_id3155261" role="paragraph" l10n="CHG" oldref="42"> 144<emph>Number 1,Number 2,...Number 30</emph> are numerical values or ranges representing a sample based on an entire population.</paragraph> 145<paragraph xml-lang="en-US" id="hd_id3145591" role="heading" level="3" l10n="U" 146oldref="43">Example</paragraph> 147<paragraph xml-lang="en-US" id="par_id3153933" role="paragraph" l10n="U" oldref="44"> 148<item type="input">=STDEVP(A1:A50)</item> returns a standard deviation of the data referenced.</paragraph> 149</section> 150<section id="stdevpa"> 151<bookmark xml-lang="en-US" branch="index" id="bm_id3154522"><bookmark_value>STDEVPA function</bookmark_value> 152</bookmark> 153<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STABWNA" id="bm_id3150902" localize="false"/> 154<paragraph xml-lang="en-US" id="hd_id3154522" role="heading" level="2" l10n="U" 155oldref="194">STDEVPA</paragraph> 156<paragraph xml-lang="en-US" id="par_id3149549" role="paragraph" l10n="U" oldref="195"><ahelp hid="HID_FUNC_STABWNA">Calculates the standard deviation based on the entire population.</ahelp></paragraph> 157<paragraph xml-lang="en-US" id="hd_id3155950" role="heading" level="3" l10n="U" 158oldref="196">Syntax</paragraph> 159<paragraph xml-lang="en-US" id="par_id3146851" role="code" l10n="U" oldref="197">STDEVPA(Value1;Value2;...Value30)</paragraph> 160<paragraph xml-lang="en-US" id="par_id3153109" role="paragraph" l10n="CHG" oldref="198"> 161<emph>Value1,value2,...value30</emph> are values or ranges representing a sample derived from an entire population. Text has the value 0.</paragraph> 162<paragraph xml-lang="en-US" id="hd_id3154506" role="heading" level="3" l10n="U" 163oldref="199">Example</paragraph> 164<paragraph xml-lang="en-US" id="par_id3145163" role="paragraph" l10n="U" oldref="200"> 165<item type="input">=STDEVPA(A1:A50)</item> returns the standard deviation of the data referenced.</paragraph> 166</section> 167<section id="standardize"> 168<bookmark xml-lang="en-US" branch="index" id="bm_id3155928"><bookmark_value>STANDARDIZE function</bookmark_value> 169<bookmark_value>converting;random variables, into normalized values</bookmark_value> 170</bookmark> 171<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STANDARDISIERUNG" id="bm_id3148764" localize="false"/> 172<paragraph xml-lang="en-US" id="hd_id3155928" role="heading" level="2" l10n="U" 173oldref="46">STANDARDIZE</paragraph> 174<paragraph xml-lang="en-US" id="par_id3149883" role="paragraph" l10n="U" oldref="47"><ahelp hid="HID_FUNC_STANDARDISIERUNG">Converts a random variable to a normalized value.</ahelp></paragraph> 175<paragraph xml-lang="en-US" id="hd_id3154330" role="heading" level="3" l10n="U" 176oldref="48">Syntax</paragraph> 177<paragraph xml-lang="en-US" id="par_id3150132" role="code" l10n="U" oldref="49">STANDARDIZE(Number; Mean; StDev)</paragraph> 178<paragraph xml-lang="en-US" id="par_id3159139" role="paragraph" l10n="U" oldref="50"> 179<emph>Number</emph> is the value to be standardized.</paragraph> 180<paragraph xml-lang="en-US" id="par_id3145241" role="paragraph" l10n="U" oldref="51"> 181<emph>Mean</emph> is the arithmetic mean of the distribution.</paragraph> 182<paragraph xml-lang="en-US" id="par_id3148874" role="paragraph" l10n="U" oldref="52"> 183<emph>StDev</emph> is the standard deviation of the distribution.</paragraph> 184<paragraph xml-lang="en-US" id="hd_id3145351" role="heading" level="3" l10n="U" 185oldref="53">Example</paragraph> 186<paragraph xml-lang="en-US" id="par_id3156067" role="paragraph" l10n="U" oldref="54"> 187<item type="input">=STANDARDIZE(11;10;1)</item> returns 1. The value 11 in a normal distribution with a mean of 10 and a standard deviation of 1 is as much above the mean of 10, as the value 1 is above the mean of the standard normal distribution.</paragraph> 188</section> 189<section id="normsinv"> 190<bookmark xml-lang="en-US" branch="index" id="bm_id3157986"><bookmark_value>NORMSINV function</bookmark_value> 191<bookmark_value>normal distribution;inverse of standard</bookmark_value> 192</bookmark> 193<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STANDNORMINV" id="bm_id3148389" localize="false"/> 194<paragraph xml-lang="en-US" id="hd_id3157986" role="heading" level="2" l10n="U" 195oldref="56">NORMSINV</paragraph> 196<paragraph xml-lang="en-US" id="par_id3151282" role="paragraph" l10n="U" oldref="57"><ahelp hid="HID_FUNC_STANDNORMINV">Returns the inverse of the standard normal cumulative distribution.</ahelp></paragraph> 197<paragraph xml-lang="en-US" id="hd_id3153261" role="heading" level="3" l10n="U" 198oldref="58">Syntax</paragraph> 199<paragraph xml-lang="en-US" id="par_id3154195" role="code" l10n="U" oldref="59">NORMINV(Number)</paragraph> 200<paragraph xml-lang="en-US" id="par_id3148772" role="paragraph" l10n="U" oldref="60"> 201<emph>Number</emph> is the probability to which the inverse standard normal distribution is calculated.</paragraph> 202<paragraph xml-lang="en-US" id="hd_id3150934" role="heading" level="3" l10n="U" 203oldref="61">Example</paragraph> 204<paragraph xml-lang="en-US" id="par_id3149030" role="paragraph" l10n="U" oldref="62"> 205<item type="input">=NORMSINV(0.908789)</item> returns 1.3333.</paragraph> 206</section> 207<section id="normsdist"> 208<bookmark xml-lang="en-US" branch="index" id="bm_id3147538"><bookmark_value>NORMSDIST function</bookmark_value> 209<bookmark_value>normal distribution;statistics</bookmark_value> 210</bookmark> 211<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STANDNORMVERT" id="bm_id3145269" localize="false"/> 212<paragraph xml-lang="en-US" id="hd_id3147538" role="heading" level="2" l10n="U" 213oldref="64">NORMSDIST</paragraph> 214<paragraph xml-lang="en-US" id="par_id3150474" role="paragraph" l10n="CHG" oldref="65"><ahelp hid="HID_FUNC_STANDNORMVERT">Returns the standard normal cumulative distribution function. The distribution has a mean of zero and a standard deviation of one.</ahelp></paragraph> 215<paragraph xml-lang="en-US" id="par_id8652302" role="paragraph" l10n="NEW">It is GAUSS(x)=NORMSDIST(x)-0.5</paragraph> 216<paragraph xml-lang="en-US" id="hd_id3155083" role="heading" level="3" l10n="U" 217oldref="66">Syntax</paragraph> 218<paragraph xml-lang="en-US" id="par_id3158411" role="code" l10n="U" oldref="67">NORMSDIST(Number)</paragraph> 219<paragraph xml-lang="en-US" id="par_id3154950" role="paragraph" l10n="CHG" oldref="68"> 220<emph>Number</emph> is the value to which the standard normal cumulative distribution is calculated.</paragraph> 221<paragraph xml-lang="en-US" id="hd_id3153228" role="heading" level="3" l10n="U" 222oldref="69">Example</paragraph> 223<paragraph xml-lang="en-US" id="par_id3155984" role="paragraph" l10n="U" oldref="70"> 224<item type="input">=NORMSDIST(1)</item> returns 0.84. The area below the standard normal distribution curve to the left of X value 1 is 84% of the total area.</paragraph> 225</section> 226<section id="slope"> 227<bookmark xml-lang="en-US" branch="index" id="bm_id3152592"><bookmark_value>SLOPE function</bookmark_value> 228</bookmark> 229<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STEIGUNG" id="bm_id3153716" localize="false"/> 230<paragraph xml-lang="en-US" id="hd_id3152592" role="heading" level="2" l10n="U" 231oldref="72">SLOPE</paragraph> 232<paragraph xml-lang="en-US" id="par_id3150386" role="paragraph" l10n="U" oldref="73"><ahelp hid="HID_FUNC_STEIGUNG">Returns the slope of the linear regression line.</ahelp> The slope is adapted to the data points set in the y and x values.</paragraph> 233<paragraph xml-lang="en-US" id="hd_id3154315" role="heading" level="3" l10n="U" 234oldref="74">Syntax</paragraph> 235<paragraph xml-lang="en-US" id="par_id3149819" role="code" l10n="U" oldref="75">SLOPE(DataY; DataX)</paragraph> 236<paragraph xml-lang="en-US" id="par_id3083446" role="paragraph" l10n="U" oldref="76"> 237<emph>DataY</emph> is the array or matrix of Y data.</paragraph> 238<paragraph xml-lang="en-US" id="par_id3152375" role="paragraph" l10n="U" oldref="77"> 239<emph>DataX</emph> is the array or matrix of X data.</paragraph> 240<paragraph xml-lang="en-US" id="hd_id3146061" role="heading" level="3" l10n="U" 241oldref="78">Example</paragraph> 242<paragraph xml-lang="en-US" id="par_id3152480" role="paragraph" l10n="U" oldref="79"> 243<item type="input">=SLOPE(A1:A50;B1:B50)</item> 244</paragraph> 245</section> 246<section id="steyx"> 247<bookmark xml-lang="en-US" branch="index" id="bm_id3155836"><bookmark_value>STEYX function</bookmark_value> 248<bookmark_value>standard errors;statistical functions</bookmark_value> 249</bookmark><comment>mw changed "standard errors"</comment> 250<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STFEHLERYX" id="bm_id3150964" localize="false"/> 251<paragraph xml-lang="en-US" id="hd_id3155836" role="heading" level="2" l10n="U" 252oldref="81">STEYX</paragraph> 253<paragraph xml-lang="en-US" id="par_id3149446" role="paragraph" l10n="U" oldref="82"><ahelp hid="HID_FUNC_STFEHLERYX">Returns the standard error of the predicted y value for each x in the regression.</ahelp></paragraph> 254<paragraph xml-lang="en-US" id="hd_id3147562" role="heading" level="3" l10n="U" 255oldref="83">Syntax</paragraph> 256<paragraph xml-lang="en-US" id="par_id3151267" role="code" l10n="U" oldref="84">STEYX(DataY; DataX)</paragraph> 257<paragraph xml-lang="en-US" id="par_id3147313" role="paragraph" l10n="U" oldref="85"> 258<emph>DataY</emph> is the array or matrix of Y data.</paragraph> 259<paragraph xml-lang="en-US" id="par_id3156097" role="paragraph" l10n="U" oldref="86"> 260<emph>DataX</emph> is the array or matrix of X data.</paragraph> 261<paragraph xml-lang="en-US" id="hd_id3145204" role="heading" level="3" l10n="U" 262oldref="87">Example</paragraph> 263<paragraph xml-lang="en-US" id="par_id3156131" role="paragraph" l10n="U" oldref="88"> 264<item type="input">=STEXY(A1:A50;B1:B50)</item> 265</paragraph> 266</section> 267<section id="devsq"> 268<bookmark xml-lang="en-US" branch="index" id="bm_id3150873"><bookmark_value>DEVSQ function</bookmark_value> 269<bookmark_value>sums;of squares of deviations</bookmark_value> 270</bookmark> 271<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_SUMQUADABW" id="bm_id3156317" localize="false"/> 272<paragraph xml-lang="en-US" id="hd_id3150873" role="heading" level="2" l10n="U" 273oldref="90">DEVSQ</paragraph> 274<paragraph xml-lang="en-US" id="par_id3154748" role="paragraph" l10n="U" oldref="91"><ahelp hid="HID_FUNC_SUMQUADABW">Returns the sum of squares of deviations based on a sample mean.</ahelp></paragraph> 275<paragraph xml-lang="en-US" id="hd_id3156121" role="heading" level="3" l10n="U" 276oldref="92">Syntax</paragraph> 277<paragraph xml-lang="en-US" id="par_id3146790" role="code" l10n="U" oldref="93">DEVSQ(Number1; Number2; ...Number30)</paragraph> 278<paragraph xml-lang="en-US" id="par_id3155995" role="paragraph" l10n="CHG" oldref="94"> 279<emph>Number1, Number2, ...Number30</emph> numerical values or ranges representing a sample. </paragraph> 280<paragraph xml-lang="en-US" id="hd_id3150254" role="heading" level="3" l10n="U" 281oldref="95">Example</paragraph> 282<paragraph xml-lang="en-US" id="par_id3149136" role="paragraph" l10n="U" oldref="96"> 283<item type="input">=DEVSQ(A1:A50)</item> 284</paragraph> 285</section> 286<section id="tinv"> 287<bookmark xml-lang="en-US" branch="index" id="bm_id3149579"><bookmark_value>TINV function</bookmark_value> 288<bookmark_value>inverse of t-distribution</bookmark_value> 289</bookmark> 290<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_TINV" id="bm_id3153155" localize="false"/> 291<paragraph xml-lang="en-US" id="hd_id3149579" role="heading" level="2" l10n="U" 292oldref="98">TINV</paragraph> 293<paragraph xml-lang="en-US" id="par_id3143232" role="paragraph" l10n="U" oldref="99"><ahelp hid="HID_FUNC_TINV">Returns the inverse of the t-distribution.</ahelp></paragraph> 294<paragraph xml-lang="en-US" id="hd_id3155101" role="heading" level="3" l10n="U" 295oldref="100">Syntax</paragraph> 296<paragraph xml-lang="en-US" id="par_id3149289" role="code" l10n="U" oldref="101">TINV(Number; DegreesFreedom)</paragraph> 297<paragraph xml-lang="en-US" id="par_id3154070" role="paragraph" l10n="U" oldref="102"> 298<emph>Number</emph> is the probability associated with the two-tailed t-distribution.</paragraph> 299<paragraph xml-lang="en-US" id="par_id3155315" role="paragraph" l10n="U" oldref="103"> 300<emph>DegreesFreedom</emph> is the number of degrees of freedom for the t-distribution.</paragraph> 301<paragraph xml-lang="en-US" id="hd_id3153885" role="heading" level="3" l10n="U" 302oldref="104">Example</paragraph> 303<paragraph xml-lang="en-US" id="par_id3156010" role="paragraph" l10n="CHG" oldref="105"> 304<item type="input">=TINV(0.1;6)</item> returns 1.94</paragraph> 305</section> 306<section id="ttest"> 307<bookmark xml-lang="en-US" branch="index" id="bm_id3154129"><bookmark_value>TTEST function</bookmark_value> 308</bookmark> 309<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_TTEST" id="bm_id3153981" localize="false"/> 310<paragraph xml-lang="en-US" id="hd_id3154129" role="heading" level="2" l10n="U" 311oldref="107">TTEST</paragraph> 312<paragraph xml-lang="en-US" id="par_id3159184" role="paragraph" l10n="U" oldref="108"><ahelp hid="HID_FUNC_TTEST">Returns the probability associated with a Student's t-Test.</ahelp></paragraph> 313<paragraph xml-lang="en-US" id="hd_id3147257" role="heading" level="3" l10n="U" 314oldref="109">Syntax</paragraph> 315<paragraph xml-lang="en-US" id="par_id3151175" role="code" l10n="U" oldref="110">TTEST(Data1; Data2; Mode; Type)</paragraph> 316<paragraph xml-lang="en-US" id="par_id3149202" role="paragraph" l10n="U" oldref="111"> 317<emph>Data1</emph> is the dependent array or range of data for the first record.</paragraph> 318<paragraph xml-lang="en-US" id="par_id3145666" role="paragraph" l10n="U" oldref="112"> 319<emph>Data2</emph> is the dependent array or range of data for the second record.</paragraph> 320<paragraph xml-lang="en-US" id="par_id3153903" role="paragraph" l10n="U" oldref="113"> 321<emph>Mode</emph> = 1 calculates the one-tailed test, <emph>Mode</emph> = 2 the two- tailed test.</paragraph> 322<paragraph xml-lang="en-US" id="par_id3155327" role="paragraph" l10n="U" oldref="114"> 323<emph>Type</emph> is the kind of t-test to perform. Type 1 means paired. Type 2 means two samples, equal variance (homoscedastic). Type 3 means two samples, unequal variance (heteroscedastic).</paragraph> 324<paragraph xml-lang="en-US" id="hd_id3159342" role="heading" level="3" l10n="U" 325oldref="115">Example</paragraph> 326<paragraph xml-lang="en-US" id="par_id3150119" role="paragraph" l10n="U" oldref="116"> 327<item type="input">=TTEST(A1:A50;B1:B50;2;2)</item> 328</paragraph> 329</section> 330<section id="tdist"> 331<bookmark xml-lang="en-US" branch="index" id="bm_id3154930"><bookmark_value>TDIST function</bookmark_value> 332<bookmark_value>t-distribution</bookmark_value> 333</bookmark> 334<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_TVERT" id="bm_id3153095" localize="false"/> 335<paragraph xml-lang="en-US" id="hd_id3154930" role="heading" level="2" l10n="U" 336oldref="118">TDIST</paragraph> 337<paragraph xml-lang="en-US" id="par_id3153372" role="paragraph" l10n="U" oldref="119"><ahelp hid="HID_FUNC_TVERT">Returns the t-distribution.</ahelp></paragraph> 338<paragraph xml-lang="en-US" id="hd_id3149911" role="heading" level="3" l10n="U" 339oldref="120">Syntax</paragraph> 340<paragraph xml-lang="en-US" id="par_id3150521" role="code" l10n="U" oldref="121">TDIST(Number; DegreesFreedom; Mode)</paragraph> 341<paragraph xml-lang="en-US" id="par_id3146991" role="paragraph" l10n="U" oldref="122"> 342<emph>Number</emph> is the value for which the t-distribution is calculated.</paragraph> 343<paragraph xml-lang="en-US" id="par_id3148824" role="paragraph" l10n="U" oldref="123"> 344<emph>DegreesFreedom</emph> is the number of degrees of freedom for the t-distribution.</paragraph> 345<paragraph xml-lang="en-US" id="par_id3149340" role="paragraph" l10n="U" oldref="124"> 346<emph>Mode</emph> = 1 returns the one-tailed test, <emph>Mode</emph> = 2 returns the two-tailed test.</paragraph> 347<paragraph xml-lang="en-US" id="hd_id3159150" role="heading" level="3" l10n="U" 348oldref="125">Example</paragraph> 349<paragraph xml-lang="en-US" id="par_id3149773" role="paragraph" l10n="U" oldref="126"> 350<item type="input">=TDIST(12;5;1)</item> 351</paragraph> 352</section> 353<section id="var"> 354<bookmark xml-lang="en-US" branch="index" id="bm_id3153828"><bookmark_value>VAR function</bookmark_value> 355<bookmark_value>variances</bookmark_value> 356</bookmark> 357<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIANZ" id="bm_id3154898" localize="false"/> 358<paragraph xml-lang="en-US" id="hd_id3153828" role="heading" level="2" l10n="U" 359oldref="128">VAR</paragraph> 360<paragraph xml-lang="en-US" id="par_id3159165" role="paragraph" l10n="U" oldref="129"><ahelp hid="HID_FUNC_VARIANZ">Estimates the variance based on a sample.</ahelp></paragraph> 361<paragraph xml-lang="en-US" id="hd_id3154286" role="heading" level="3" l10n="U" 362oldref="130">Syntax</paragraph> 363<paragraph xml-lang="en-US" id="par_id3153054" role="code" l10n="U" oldref="131">VAR(Number1; Number2; ...Number30)</paragraph> 364<paragraph xml-lang="en-US" id="par_id3148938" role="paragraph" l10n="CHG" oldref="132"> 365<emph>Number1, Number2, ...Number30</emph> are numerical values or ranges representing a sample based on an entire population.</paragraph> 366<paragraph xml-lang="en-US" id="hd_id3147233" role="heading" level="3" l10n="U" 367oldref="133">Example</paragraph> 368<paragraph xml-lang="en-US" id="par_id3153575" role="paragraph" l10n="U" oldref="134"> 369<item type="input">=VAR(A1:A50)</item> 370</paragraph> 371</section> 372<section id="vara"> 373<bookmark xml-lang="en-US" branch="index" id="bm_id3151045"><bookmark_value>VARA function</bookmark_value> 374</bookmark> 375<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIANZA" id="bm_id3148473" localize="false"/> 376<paragraph xml-lang="en-US" id="hd_id3151045" role="heading" level="2" l10n="U" 377oldref="202">VARA</paragraph> 378<paragraph xml-lang="en-US" id="par_id3155122" role="paragraph" l10n="U" oldref="203"><ahelp hid="HID_FUNC_VARIANZA">Estimates a variance based on a sample. The value of text is 0.</ahelp></paragraph> 379<paragraph xml-lang="en-US" id="hd_id3149176" role="heading" level="3" l10n="U" 380oldref="204">Syntax</paragraph> 381<paragraph xml-lang="en-US" id="par_id3149999" role="code" l10n="U" oldref="205">VARA(Value1; Value2; ...Value30)</paragraph> 382<paragraph xml-lang="en-US" id="par_id3158421" role="paragraph" l10n="CHG" oldref="206"> 383<emph>Value1, Value2,...Value30</emph> are values or ranges representing a sample derived from an entire population. Text has the value 0.</paragraph> 384<paragraph xml-lang="en-US" id="hd_id3149160" role="heading" level="3" l10n="U" 385oldref="207">Example</paragraph> 386<paragraph xml-lang="en-US" id="par_id3154279" role="paragraph" l10n="U" oldref="208"> 387<item type="input">=VARA(A1:A50)</item> 388</paragraph> 389</section> 390<section id="varp"> 391<bookmark xml-lang="en-US" branch="index" id="bm_id3166441"><bookmark_value>VARP function</bookmark_value> 392</bookmark> 393<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIANZEN" id="bm_id3152359" localize="false"/> 394<paragraph xml-lang="en-US" id="hd_id3166441" role="heading" level="2" l10n="U" 395oldref="136">VARP</paragraph> 396<paragraph xml-lang="en-US" id="par_id3159199" role="paragraph" l10n="U" oldref="137"><ahelp hid="HID_FUNC_VARIANZEN">Calculates a variance based on the entire population.</ahelp></paragraph> 397<paragraph xml-lang="en-US" id="hd_id3150706" role="heading" level="3" l10n="U" 398oldref="138">Syntax</paragraph> 399<paragraph xml-lang="en-US" id="par_id3147282" role="code" l10n="U" oldref="139">VARP(Number1; Number2; ...Number30)</paragraph> 400<paragraph xml-lang="en-US" id="par_id3149793" role="paragraph" l10n="CHG" oldref="140"> 401<emph>Number1, Number2, ...Number30</emph> are numerical values or ranges representing an entire population.</paragraph> 402<paragraph xml-lang="en-US" id="hd_id3152939" role="heading" level="3" l10n="U" 403oldref="141">Example</paragraph> 404<paragraph xml-lang="en-US" id="par_id3153385" role="paragraph" l10n="U" oldref="142"> 405<item type="input">=VARP(A1:A50)</item> 406</paragraph> 407</section> 408<section id="varpa"> 409<bookmark xml-lang="en-US" branch="index" id="bm_id3153688"><bookmark_value>VARPA function</bookmark_value> 410</bookmark> 411<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIANZENA" id="bm_id3159276" localize="false"/> 412<paragraph xml-lang="en-US" id="hd_id3153688" role="heading" level="2" l10n="U" 413oldref="210">VARPA</paragraph> 414<paragraph xml-lang="en-US" id="par_id3149109" role="paragraph" l10n="U" oldref="211"><ahelp hid="HID_FUNC_VARIANZENA">Calculates the variance based on the entire population. The value of text is 0.</ahelp></paragraph> 415<paragraph xml-lang="en-US" id="hd_id3152880" role="heading" level="3" l10n="U" 416oldref="212">Syntax</paragraph> 417<paragraph xml-lang="en-US" id="par_id3149967" role="code" l10n="U" oldref="213">VARPA(Value1; Value2; ...Value30)</paragraph> 418<paragraph xml-lang="en-US" id="par_id3149920" role="paragraph" l10n="CHG" oldref="214"> 419<emph>Value1,value2,...Value30</emph> are values or ranges representing an entire population.</paragraph> 420<paragraph xml-lang="en-US" id="hd_id3154862" role="heading" level="3" l10n="U" 421oldref="215">Example</paragraph> 422<paragraph xml-lang="en-US" id="par_id3156203" role="paragraph" l10n="U" oldref="216"> 423<item type="input">=VARPA(A1:A50)</item> 424</paragraph> 425</section> 426<section id="permut"> 427<bookmark xml-lang="en-US" branch="index" id="bm_id3154599"><bookmark_value>PERMUT function</bookmark_value> 428<bookmark_value>number of permutations</bookmark_value> 429</bookmark> 430<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIATIONEN" id="bm_id3154610" localize="false"/> 431<paragraph xml-lang="en-US" id="hd_id3154599" role="heading" level="2" l10n="U" 432oldref="144">PERMUT</paragraph> 433<paragraph xml-lang="en-US" id="par_id3154334" role="paragraph" l10n="U" oldref="145"><ahelp hid="HID_FUNC_VARIATIONEN">Returns the number of permutations for a given number of objects.</ahelp></paragraph> 434<paragraph xml-lang="en-US" id="hd_id3149422" role="heading" level="3" l10n="U" 435oldref="146">Syntax</paragraph> 436<paragraph xml-lang="en-US" id="par_id3148466" role="code" l10n="U" oldref="147">PERMUT(Count1; Count2)</paragraph> 437<paragraph xml-lang="en-US" id="par_id3148656" role="paragraph" l10n="U" oldref="148"> 438<emph>Count1</emph> is the total number of objects.</paragraph> 439<paragraph xml-lang="en-US" id="par_id3150826" role="paragraph" l10n="U" oldref="149"> 440<emph>Count2</emph> is the number of objects in each permutation.</paragraph> 441<paragraph xml-lang="en-US" id="hd_id3153351" role="heading" level="3" l10n="U" 442oldref="150">Example</paragraph> 443<paragraph xml-lang="en-US" id="par_id3150424" role="paragraph" l10n="U" oldref="151"> 444<item type="input">=PERMUT(6;3)</item> returns 120. There are 120 different possibilities, to pick a sequence of 3 playing cards out of 6 playing cards.</paragraph> 445</section> 446<section id="permutationa"> 447<bookmark xml-lang="en-US" branch="index" id="bm_id3143276"><bookmark_value>PERMUTATIONA function</bookmark_value> 448</bookmark> 449<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIATIONEN2" id="bm_id3153531" localize="false"/> 450<paragraph xml-lang="en-US" id="hd_id3143276" role="heading" level="2" l10n="U" 451oldref="153">PERMUTATIONA</paragraph> 452<paragraph xml-lang="en-US" id="par_id3144759" role="paragraph" l10n="U" oldref="154"><ahelp hid="HID_FUNC_VARIATIONEN2">Returns the number of permutations for a given number of objects (repetition allowed).</ahelp></paragraph> 453<paragraph xml-lang="en-US" id="hd_id3145598" role="heading" level="3" l10n="U" 454oldref="155">Syntax</paragraph> 455<paragraph xml-lang="en-US" id="par_id3149298" role="code" l10n="U" oldref="156">PERMUTATIONA(Count1; Count2)</paragraph> 456<paragraph xml-lang="en-US" id="par_id3156139" role="paragraph" l10n="U" oldref="157"> 457<emph>Count1</emph> is the total number of objects.</paragraph> 458<paragraph xml-lang="en-US" id="par_id3149519" role="paragraph" l10n="U" oldref="158"> 459<emph>Count2</emph> is the number of objects in each permutation.</paragraph> 460<paragraph xml-lang="en-US" id="hd_id3151382" role="heading" level="3" l10n="U" 461oldref="159">Example</paragraph> 462<paragraph xml-lang="en-US" id="par_id3153949" role="paragraph" l10n="U" oldref="160">How often can 2 objects be selected from a total of 11 objects?</paragraph> 463<paragraph xml-lang="en-US" id="par_id3149233" role="paragraph" l10n="U" oldref="161"> 464<item type="input">=PERMUTATIONA(11;2)</item> returns 121.</paragraph> 465<paragraph xml-lang="en-US" id="par_id3150622" role="paragraph" l10n="U" oldref="162"> 466<item type="input">=PERMUTATIONA(6;3)</item> returns 216. There are 216 different possibilities to put a sequence of 3 playing cards together out of six playing cards if every card is returned before the next one is drawn.</paragraph> 467</section> 468<section id="prob"> 469<bookmark xml-lang="en-US" branch="index" id="bm_id3152952"><bookmark_value>PROB function</bookmark_value> 470</bookmark> 471<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_WAHRSCHBEREICH" id="bm_id3152963" localize="false"/> 472<paragraph xml-lang="en-US" id="hd_id3152952" role="heading" level="2" l10n="U" 473oldref="164">PROB</paragraph> 474<paragraph xml-lang="en-US" id="par_id3154110" role="paragraph" l10n="U" oldref="165"><ahelp hid="HID_FUNC_WAHRSCHBEREICH">Returns the probability that values in a range are between two limits.</ahelp> If there is no <item type="literal">End</item> value, this function calculates the probability based on the principle that the Data values are equal to the value of <item type="literal">Start</item>.</paragraph> 475<paragraph xml-lang="en-US" id="hd_id3146810" role="heading" level="3" l10n="U" 476oldref="166">Syntax</paragraph> 477<paragraph xml-lang="en-US" id="par_id3147330" role="code" l10n="U" oldref="167">PROB(Data; Probability; Start; End)</paragraph> 478<paragraph xml-lang="en-US" id="par_id3154573" role="paragraph" l10n="U" oldref="168"> 479<emph>Data</emph> is the array or range of data in the sample.</paragraph> 480<paragraph xml-lang="en-US" id="par_id3156334" role="paragraph" l10n="U" oldref="169"> 481<emph>Probability</emph> is the array or range of the corresponding probabilities.</paragraph> 482<paragraph xml-lang="en-US" id="par_id3151107" role="paragraph" l10n="U" oldref="170"> 483<emph>Start</emph> is the start value of the interval whose probabilities are to be summed.</paragraph> 484<paragraph xml-lang="en-US" id="par_id3153694" role="paragraph" l10n="U" oldref="171"> 485<emph>End</emph> (optional) is the end value of the interval whose probabilities are to be summed. If this parameter is missing, the probability for the <emph>Start </emph>value is calculated.</paragraph> 486<paragraph xml-lang="en-US" id="hd_id3147574" role="heading" level="3" l10n="U" 487oldref="172">Example</paragraph> 488<paragraph xml-lang="en-US" id="par_id3153666" role="paragraph" l10n="U" oldref="173"> 489<item type="input">=PROB(A1:A50;B1:B50;50;60)</item> returns the probability with which a value within the range of A1:A50 is also within the limits between 50 and 60. Every value within the range of A1:A50 has a probability within the range of B1:B50.</paragraph> 490</section> 491<section id="weibull"> 492<bookmark xml-lang="en-US" branch="index" id="bm_id3150941"><bookmark_value>WEIBULL function</bookmark_value> 493</bookmark> 494<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_WEIBULL" id="bm_id3150405" localize="false"/> 495<paragraph xml-lang="en-US" id="hd_id3150941" role="heading" level="2" l10n="U" 496oldref="175">WEIBULL</paragraph> 497<paragraph xml-lang="en-US" id="par_id3154916" role="paragraph" l10n="U" oldref="176"><ahelp hid="HID_FUNC_WEIBULL">Returns the values of the Weibull distribution.</ahelp></paragraph> 498<paragraph xml-lang="en-US" id="par_id0305200911372767" role="paragraph" l10n="NEW">The Weibull distribution is a continuous probability distribution, with parameters Alpha > 0 (shape) and Beta > 0 (scale). </paragraph> 499<paragraph xml-lang="en-US" id="par_id0305200911372777" role="paragraph" l10n="NEW">If C is 0, WEIBULL calculates the probability density function.</paragraph> 500<paragraph xml-lang="en-US" id="par_id0305200911372743" role="paragraph" l10n="NEW">If C is 1, WEIBULL calculates the cumulative distribution function.</paragraph> 501<paragraph xml-lang="en-US" id="hd_id3159393" role="heading" level="3" l10n="U" 502oldref="177">Syntax</paragraph> 503<paragraph xml-lang="en-US" id="par_id3154478" role="code" l10n="U" oldref="178">WEIBULL(Number; Alpha; Beta; C)</paragraph> 504<paragraph xml-lang="en-US" id="par_id3151317" role="paragraph" l10n="U" oldref="179"> 505<emph>Number</emph> is the value at which to calculate the Weibull distribution.</paragraph> 506<paragraph xml-lang="en-US" id="par_id3158436" role="paragraph" l10n="U" oldref="180"> 507<emph>Alpha </emph>is the shape parameter of the Weibull distribution.</paragraph> 508<paragraph xml-lang="en-US" id="par_id3154668" role="paragraph" l10n="U" oldref="181"> 509<emph>Beta</emph> is the scale parameter of the Weibull distribution.</paragraph> 510<paragraph xml-lang="en-US" id="par_id3154825" role="paragraph" l10n="CHG" oldref="182"> 511<emph>C</emph> indicates the type of function.</paragraph> 512<paragraph xml-lang="en-US" id="hd_id3153794" role="heading" level="3" l10n="U" 513oldref="183">Example</paragraph> 514<paragraph xml-lang="en-US" id="par_id3146077" role="paragraph" l10n="U" oldref="184"> 515<item type="input">=WEIBULL(2;1;1;1)</item> returns 0.86.</paragraph> 516<paragraph xml-lang="en-US" id="par_id0305200911372899" role="paragraph" l10n="NEW">See also the <link href="https://wiki.openoffice.org/wiki/Documentation/How_Tos/Calc:_WEIBULL_function">Wiki page</link>.</paragraph> 517</section> 518</sort> 519<section id="relatedtopics"> 520<embed href="text/scalc/01/04060100.xhp#drking"/> 521</section> 522</body> 523</helpdocument> 524