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If not, see 27 * <http://www.openoffice.org/license.html> 28 * for a copy of the LGPLv3 License. 29 * 30 ************************************************************************ 31 --> 32 33 34<meta> 35 <topic id="textscalc0104060185xml" indexer="include"> 36 <title xml-lang="en-US" id="tit">Statistical Functions Part Five</title> 37 <filename>/text/scalc/01/04060185.xhp</filename> 38 </topic> 39 </meta> 40 <body> 41 <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> 42</variable></paragraph> 43<sort order="asc"> 44<section id="rank"> 45<bookmark xml-lang="en-US" branch="index" id="bm_id3155071"><bookmark_value>RANK function</bookmark_value> 46 <bookmark_value>numbers;determining ranks</bookmark_value> 47</bookmark> 48<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_RANG" id="bm_id3146778" localize="false"/> 49<paragraph xml-lang="en-US" id="hd_id3155071" role="heading" level="2" l10n="U" oldref="2">RANK</paragraph> 50 <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> 51 <paragraph xml-lang="en-US" id="hd_id3159206" role="heading" level="3" l10n="U" oldref="4">Syntax</paragraph> 52 <paragraph xml-lang="en-US" id="par_id3153250" role="code" l10n="U" oldref="5">RANK(Value; Data; Type)</paragraph> 53 <paragraph xml-lang="en-US" id="par_id3154543" role="paragraph" l10n="U" oldref="6"> 54 <emph>Value</emph> is the value, whose rank is to be determined.</paragraph> 55 <paragraph xml-lang="en-US" id="par_id3149130" role="paragraph" l10n="U" oldref="7"> 56 <emph>Data</emph> is the array or range of data in the sample.</paragraph> 57 <paragraph xml-lang="en-US" id="par_id3150215" role="paragraph" l10n="CHG" oldref="8"> 58 <emph>Type</emph> (optional) is the sequence order.</paragraph> 59 <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> 60 <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> 61 <paragraph xml-lang="en-US" id="hd_id3143223" role="heading" level="3" l10n="U" oldref="9">Example</paragraph> 62 <paragraph xml-lang="en-US" id="par_id3155919" role="paragraph" l10n="U" oldref="10"> 63 <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> 64 </section> 65 <section id="skew"> 66<bookmark xml-lang="en-US" branch="index" id="bm_id3153556"><bookmark_value>SKEW function</bookmark_value> 67</bookmark> 68<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_SCHIEFE" id="bm_id3153801" localize="false"/> 69<paragraph xml-lang="en-US" id="hd_id3153556" role="heading" level="2" l10n="U" 70 oldref="12">SKEW</paragraph> 71 <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> 72 <paragraph xml-lang="en-US" id="hd_id3154733" role="heading" level="3" l10n="U" 73 oldref="14">Syntax</paragraph> 74 <paragraph xml-lang="en-US" id="par_id3151191" role="code" l10n="U" oldref="15">SKEW(Number1; Number2; ...Number30)</paragraph> 75 <paragraph xml-lang="en-US" id="par_id3155757" role="paragraph" l10n="CHG" oldref="16"> 76 <emph>Number1, Number2...Number30</emph> are numerical values or ranges.</paragraph> 77 <paragraph xml-lang="en-US" id="hd_id3153297" role="heading" level="3" l10n="U" 78 oldref="17">Example</paragraph> 79 <paragraph xml-lang="en-US" id="par_id3145118" role="paragraph" l10n="U" oldref="18"> 80 <item type="input">=SKEW(A1:A50)</item> calculates the value of skew for the data referenced.</paragraph> 81 </section> 82 <section id="forecast"> 83<bookmark xml-lang="en-US" branch="index" id="bm_id3149051"><bookmark_value>regression lines;FORECAST function</bookmark_value> 84 <bookmark_value>extrapolations</bookmark_value> 85 <bookmark_value>FORECAST function</bookmark_value> 86</bookmark> 87<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> 88<paragraph xml-lang="en-US" id="hd_id3149051" role="heading" level="2" l10n="U" 89 oldref="20">FORECAST</paragraph> 90 <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> 91 <paragraph xml-lang="en-US" id="hd_id3151343" role="heading" level="3" l10n="U" 92 oldref="22">Syntax</paragraph> 93 <paragraph xml-lang="en-US" id="par_id3147404" role="code" l10n="U" oldref="23">FORECAST(Value; DataY; DataX)</paragraph> 94 <paragraph xml-lang="en-US" id="par_id3148743" role="paragraph" l10n="U" oldref="24"> 95 <emph>Value</emph> is the x value, for which the y value on the linear regression is to be returned.</paragraph> 96 <paragraph xml-lang="en-US" id="par_id3146325" role="paragraph" l10n="U" oldref="25"> 97 <emph>DataY</emph> is the array or range of known y's.</paragraph> 98 <paragraph xml-lang="en-US" id="par_id3150536" role="paragraph" l10n="U" oldref="26"> 99 <emph>DataX</emph> is the array or range of known x's.</paragraph> 100 <paragraph xml-lang="en-US" id="hd_id3147416" role="heading" level="3" l10n="U" 101 oldref="27">Example</paragraph> 102 <paragraph xml-lang="en-US" id="par_id3157874" role="paragraph" l10n="U" oldref="28"> 103 <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> 104 </section> 105 <section id="stdev"> 106<bookmark xml-lang="en-US" branch="index" id="bm_id3149143"><bookmark_value>STDEV function</bookmark_value> 107 <bookmark_value>standard deviations in statistics;based on a sample</bookmark_value> 108</bookmark> 109<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STABW" id="bm_id3153121" localize="false"/> 110<paragraph xml-lang="en-US" id="hd_id3149143" role="heading" level="2" l10n="U" 111 oldref="30">STDEV</paragraph> 112 <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> 113 <paragraph xml-lang="en-US" id="hd_id3146815" role="heading" level="3" l10n="U" 114 oldref="32">Syntax</paragraph> 115 <paragraph xml-lang="en-US" id="par_id3149946" role="code" l10n="U" oldref="33">STDEV(Number1; Number2; ...Number30)</paragraph> 116 <paragraph xml-lang="en-US" id="par_id3157904" role="paragraph" l10n="CHG" oldref="34"> 117 <emph>Number1, Number2, ... Number30</emph> are numerical values or ranges representing a sample based on an entire population.</paragraph> 118 <paragraph xml-lang="en-US" id="hd_id3150650" role="heading" level="3" l10n="U" 119 oldref="35">Example</paragraph> 120 <paragraph xml-lang="en-US" id="par_id3149434" role="paragraph" l10n="U" oldref="36"> 121 <item type="input">=STDEV(A1:A50)</item> returns the estimated standard deviation based on the data referenced.</paragraph> 122 </section> 123 <section id="stdeva"> 124<bookmark xml-lang="en-US" branch="index" id="bm_id3144745"><bookmark_value>STDEVA function</bookmark_value> 125</bookmark> 126<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STABWA" id="bm_id3154846" localize="false"/> 127<paragraph xml-lang="en-US" id="hd_id3144745" role="heading" level="2" l10n="U" 128 oldref="186">STDEVA</paragraph> 129 <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> 130 <paragraph xml-lang="en-US" id="hd_id3148884" role="heading" level="3" l10n="U" 131 oldref="188">Syntax</paragraph> 132 <paragraph xml-lang="en-US" id="par_id3147422" role="code" l10n="U" oldref="189">STDEVA(Value1;Value2;...Value30)</paragraph> 133 <paragraph xml-lang="en-US" id="par_id3154547" role="paragraph" l10n="CHG" oldref="190"> 134 <emph>Value1, Value2, ...Value30</emph> are values or ranges representing a sample derived from an entire population. Text has the value 0.</paragraph> 135 <paragraph xml-lang="en-US" id="hd_id3155829" role="heading" level="3" l10n="U" 136 oldref="191">Example</paragraph> 137 <paragraph xml-lang="en-US" id="par_id3148581" role="paragraph" l10n="U" oldref="192"> 138 <item type="input">=STDEVA(A1:A50)</item> returns the estimated standard deviation based on the data referenced.</paragraph> 139 </section> 140 <section id="stdevp"> 141<bookmark xml-lang="en-US" branch="index" id="bm_id3149734"><bookmark_value>STDEVP function</bookmark_value> 142 <bookmark_value>standard deviations in statistics;based on a population</bookmark_value> 143</bookmark> 144<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STABWN" id="bm_id3146139" localize="false"/> 145<paragraph xml-lang="en-US" id="hd_id3149734" role="heading" level="2" l10n="U" 146 oldref="38">STDEVP</paragraph> 147 <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> 148 <paragraph xml-lang="en-US" id="hd_id3154387" role="heading" level="3" l10n="U" 149 oldref="40">Syntax</paragraph> 150 <paragraph xml-lang="en-US" id="par_id3154392" role="code" l10n="U" oldref="41">STDEVP(Number1;Number2;...Number30)</paragraph> 151 <paragraph xml-lang="en-US" id="par_id3155261" role="paragraph" l10n="CHG" oldref="42"> 152 <emph>Number 1,Number 2,...Number 30</emph> are numerical values or ranges representing a sample based on an entire population.</paragraph> 153 <paragraph xml-lang="en-US" id="hd_id3145591" role="heading" level="3" l10n="U" 154 oldref="43">Example</paragraph> 155 <paragraph xml-lang="en-US" id="par_id3153933" role="paragraph" l10n="U" oldref="44"> 156 <item type="input">=STDEVP(A1:A50)</item> returns a standard deviation of the data referenced.</paragraph> 157 </section> 158 <section id="stdevpa"> 159<bookmark xml-lang="en-US" branch="index" id="bm_id3154522"><bookmark_value>STDEVPA function</bookmark_value> 160</bookmark> 161<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STABWNA" id="bm_id3150902" localize="false"/> 162<paragraph xml-lang="en-US" id="hd_id3154522" role="heading" level="2" l10n="U" 163 oldref="194">STDEVPA</paragraph> 164 <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> 165 <paragraph xml-lang="en-US" id="hd_id3155950" role="heading" level="3" l10n="U" 166 oldref="196">Syntax</paragraph> 167 <paragraph xml-lang="en-US" id="par_id3146851" role="code" l10n="U" oldref="197">STDEVPA(Value1;Value2;...Value30)</paragraph> 168 <paragraph xml-lang="en-US" id="par_id3153109" role="paragraph" l10n="CHG" oldref="198"> 169 <emph>Value1,value2,...value30</emph> are values or ranges representing a sample derived from an entire population. Text has the value 0.</paragraph> 170 <paragraph xml-lang="en-US" id="hd_id3154506" role="heading" level="3" l10n="U" 171 oldref="199">Example</paragraph> 172 <paragraph xml-lang="en-US" id="par_id3145163" role="paragraph" l10n="U" oldref="200"> 173 <item type="input">=STDEVPA(A1:A50)</item> returns the standard deviation of the data referenced.</paragraph> 174 </section> 175 <section id="standardize"> 176<bookmark xml-lang="en-US" branch="index" id="bm_id3155928"><bookmark_value>STANDARDIZE function</bookmark_value> 177 <bookmark_value>converting;random variables, into normalized values</bookmark_value> 178</bookmark> 179<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STANDARDISIERUNG" id="bm_id3148764" localize="false"/> 180<paragraph xml-lang="en-US" id="hd_id3155928" role="heading" level="2" l10n="U" 181 oldref="46">STANDARDIZE</paragraph> 182 <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> 183 <paragraph xml-lang="en-US" id="hd_id3154330" role="heading" level="3" l10n="U" 184 oldref="48">Syntax</paragraph> 185 <paragraph xml-lang="en-US" id="par_id3150132" role="code" l10n="U" oldref="49">STANDARDIZE(Number; Mean; StDev)</paragraph> 186 <paragraph xml-lang="en-US" id="par_id3159139" role="paragraph" l10n="U" oldref="50"> 187 <emph>Number</emph> is the value to be standardized.</paragraph> 188 <paragraph xml-lang="en-US" id="par_id3145241" role="paragraph" l10n="U" oldref="51"> 189 <emph>Mean</emph> is the arithmetic mean of the distribution.</paragraph> 190 <paragraph xml-lang="en-US" id="par_id3148874" role="paragraph" l10n="U" oldref="52"> 191 <emph>StDev</emph> is the standard deviation of the distribution.</paragraph> 192 <paragraph xml-lang="en-US" id="hd_id3145351" role="heading" level="3" l10n="U" 193 oldref="53">Example</paragraph> 194 <paragraph xml-lang="en-US" id="par_id3156067" role="paragraph" l10n="U" oldref="54"> 195 <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> 196 </section> 197 <section id="normsinv"> 198<bookmark xml-lang="en-US" branch="index" id="bm_id3157986"><bookmark_value>NORMSINV function</bookmark_value> 199 <bookmark_value>normal distribution;inverse of standard</bookmark_value> 200</bookmark> 201<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STANDNORMINV" id="bm_id3148389" localize="false"/> 202<paragraph xml-lang="en-US" id="hd_id3157986" role="heading" level="2" l10n="U" 203 oldref="56">NORMSINV</paragraph> 204 <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> 205 <paragraph xml-lang="en-US" id="hd_id3153261" role="heading" level="3" l10n="U" 206 oldref="58">Syntax</paragraph> 207 <paragraph xml-lang="en-US" id="par_id3154195" role="code" l10n="U" oldref="59">NORMINV(Number)</paragraph> 208 <paragraph xml-lang="en-US" id="par_id3148772" role="paragraph" l10n="U" oldref="60"> 209 <emph>Number</emph> is the probability to which the inverse standard normal distribution is calculated.</paragraph> 210 <paragraph xml-lang="en-US" id="hd_id3150934" role="heading" level="3" l10n="U" 211 oldref="61">Example</paragraph> 212 <paragraph xml-lang="en-US" id="par_id3149030" role="paragraph" l10n="U" oldref="62"> 213 <item type="input">=NORMSINV(0.908789)</item> returns 1.3333.</paragraph> 214 </section> 215 <section id="normsdist"> 216<bookmark xml-lang="en-US" branch="index" id="bm_id3147538"><bookmark_value>NORMSDIST function</bookmark_value> 217 <bookmark_value>normal distribution;statistics</bookmark_value> 218</bookmark> 219<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STANDNORMVERT" id="bm_id3145269" localize="false"/> 220<paragraph xml-lang="en-US" id="hd_id3147538" role="heading" level="2" l10n="U" 221 oldref="64">NORMSDIST</paragraph> 222 <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> 223 <paragraph xml-lang="en-US" id="par_id8652302" role="paragraph" l10n="NEW">It is GAUSS(x)=NORMSDIST(x)-0.5</paragraph> 224 <paragraph xml-lang="en-US" id="hd_id3155083" role="heading" level="3" l10n="U" 225 oldref="66">Syntax</paragraph> 226 <paragraph xml-lang="en-US" id="par_id3158411" role="code" l10n="U" oldref="67">NORMSDIST(Number)</paragraph> 227 <paragraph xml-lang="en-US" id="par_id3154950" role="paragraph" l10n="CHG" oldref="68"> 228 <emph>Number</emph> is the value to which the standard normal cumulative distribution is calculated.</paragraph> 229 <paragraph xml-lang="en-US" id="hd_id3153228" role="heading" level="3" l10n="U" 230 oldref="69">Example</paragraph> 231 <paragraph xml-lang="en-US" id="par_id3155984" role="paragraph" l10n="U" oldref="70"> 232 <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> 233 </section> 234 <section id="slope"> 235<bookmark xml-lang="en-US" branch="index" id="bm_id3152592"><bookmark_value>SLOPE function</bookmark_value> 236</bookmark> 237<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STEIGUNG" id="bm_id3153716" localize="false"/> 238<paragraph xml-lang="en-US" id="hd_id3152592" role="heading" level="2" l10n="U" 239 oldref="72">SLOPE</paragraph> 240 <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> 241 <paragraph xml-lang="en-US" id="hd_id3154315" role="heading" level="3" l10n="U" 242 oldref="74">Syntax</paragraph> 243 <paragraph xml-lang="en-US" id="par_id3149819" role="code" l10n="U" oldref="75">SLOPE(DataY; DataX)</paragraph> 244 <paragraph xml-lang="en-US" id="par_id3083446" role="paragraph" l10n="U" oldref="76"> 245 <emph>DataY</emph> is the array or matrix of Y data.</paragraph> 246 <paragraph xml-lang="en-US" id="par_id3152375" role="paragraph" l10n="U" oldref="77"> 247 <emph>DataX</emph> is the array or matrix of X data.</paragraph> 248 <paragraph xml-lang="en-US" id="hd_id3146061" role="heading" level="3" l10n="U" 249 oldref="78">Example</paragraph> 250 <paragraph xml-lang="en-US" id="par_id3152480" role="paragraph" l10n="U" oldref="79"> 251 <item type="input">=SLOPE(A1:A50;B1:B50)</item> 252 </paragraph> 253 </section> 254 <section id="steyx"> 255<bookmark xml-lang="en-US" branch="index" id="bm_id3155836"><bookmark_value>STEYX function</bookmark_value> 256 <bookmark_value>standard errors;statistical functions</bookmark_value> 257</bookmark><comment>mw changed "standard errors"</comment> 258<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STFEHLERYX" id="bm_id3150964" localize="false"/> 259<paragraph xml-lang="en-US" id="hd_id3155836" role="heading" level="2" l10n="U" 260 oldref="81">STEYX</paragraph> 261 <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> 262 <paragraph xml-lang="en-US" id="hd_id3147562" role="heading" level="3" l10n="U" 263 oldref="83">Syntax</paragraph> 264 <paragraph xml-lang="en-US" id="par_id3151267" role="code" l10n="U" oldref="84">STEYX(DataY; DataX)</paragraph> 265 <paragraph xml-lang="en-US" id="par_id3147313" role="paragraph" l10n="U" oldref="85"> 266 <emph>DataY</emph> is the array or matrix of Y data.</paragraph> 267 <paragraph xml-lang="en-US" id="par_id3156097" role="paragraph" l10n="U" oldref="86"> 268 <emph>DataX</emph> is the array or matrix of X data.</paragraph> 269 <paragraph xml-lang="en-US" id="hd_id3145204" role="heading" level="3" l10n="U" 270 oldref="87">Example</paragraph> 271 <paragraph xml-lang="en-US" id="par_id3156131" role="paragraph" l10n="U" oldref="88"> 272 <item type="input">=STEXY(A1:A50;B1:B50)</item> 273 </paragraph> 274 </section> 275 <section id="devsq"> 276<bookmark xml-lang="en-US" branch="index" id="bm_id3150873"><bookmark_value>DEVSQ function</bookmark_value> 277 <bookmark_value>sums;of squares of deviations</bookmark_value> 278</bookmark> 279<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_SUMQUADABW" id="bm_id3156317" localize="false"/> 280<paragraph xml-lang="en-US" id="hd_id3150873" role="heading" level="2" l10n="U" 281 oldref="90">DEVSQ</paragraph> 282 <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> 283 <paragraph xml-lang="en-US" id="hd_id3156121" role="heading" level="3" l10n="U" 284 oldref="92">Syntax</paragraph> 285 <paragraph xml-lang="en-US" id="par_id3146790" role="code" l10n="U" oldref="93">DEVSQ(Number1; Number2; ...Number30)</paragraph> 286 <paragraph xml-lang="en-US" id="par_id3155995" role="paragraph" l10n="CHG" oldref="94"> 287 <emph>Number1, Number2, ...Number30</emph> numerical values or ranges representing a sample. </paragraph> 288 <paragraph xml-lang="en-US" id="hd_id3150254" role="heading" level="3" l10n="U" 289 oldref="95">Example</paragraph> 290 <paragraph xml-lang="en-US" id="par_id3149136" role="paragraph" l10n="U" oldref="96"> 291 <item type="input">=DEVSQ(A1:A50)</item> 292 </paragraph> 293 </section> 294 <section id="tinv"> 295<bookmark xml-lang="en-US" branch="index" id="bm_id3149579"><bookmark_value>TINV function</bookmark_value> 296 <bookmark_value>inverse of t-distribution</bookmark_value> 297</bookmark> 298<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_TINV" id="bm_id3153155" localize="false"/> 299<paragraph xml-lang="en-US" id="hd_id3149579" role="heading" level="2" l10n="U" 300 oldref="98">TINV</paragraph> 301 <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> 302 <paragraph xml-lang="en-US" id="hd_id3155101" role="heading" level="3" l10n="U" 303 oldref="100">Syntax</paragraph> 304 <paragraph xml-lang="en-US" id="par_id3149289" role="code" l10n="U" oldref="101">TINV(Number; DegreesFreedom)</paragraph> 305 <paragraph xml-lang="en-US" id="par_id3154070" role="paragraph" l10n="U" oldref="102"> 306 <emph>Number</emph> is the probability associated with the two-tailed t-distribution.</paragraph> 307 <paragraph xml-lang="en-US" id="par_id3155315" role="paragraph" l10n="U" oldref="103"> 308 <emph>DegreesFreedom</emph> is the number of degrees of freedom for the t-distribution.</paragraph> 309 <paragraph xml-lang="en-US" id="hd_id3153885" role="heading" level="3" l10n="U" 310 oldref="104">Example</paragraph> 311 <paragraph xml-lang="en-US" id="par_id3156010" role="paragraph" l10n="CHG" oldref="105"> 312 <item type="input">=TINV(0.1;6)</item> returns 1.94</paragraph> 313 </section> 314 <section id="ttest"> 315<bookmark xml-lang="en-US" branch="index" id="bm_id3154129"><bookmark_value>TTEST function</bookmark_value> 316</bookmark> 317<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_TTEST" id="bm_id3153981" localize="false"/> 318<paragraph xml-lang="en-US" id="hd_id3154129" role="heading" level="2" l10n="U" 319 oldref="107">TTEST</paragraph> 320 <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> 321 <paragraph xml-lang="en-US" id="hd_id3147257" role="heading" level="3" l10n="U" 322 oldref="109">Syntax</paragraph> 323 <paragraph xml-lang="en-US" id="par_id3151175" role="code" l10n="U" oldref="110">TTEST(Data1; Data2; Mode; Type)</paragraph> 324 <paragraph xml-lang="en-US" id="par_id3149202" role="paragraph" l10n="U" oldref="111"> 325 <emph>Data1</emph> is the dependent array or range of data for the first record.</paragraph> 326 <paragraph xml-lang="en-US" id="par_id3145666" role="paragraph" l10n="U" oldref="112"> 327 <emph>Data2</emph> is the dependent array or range of data for the second record.</paragraph> 328 <paragraph xml-lang="en-US" id="par_id3153903" role="paragraph" l10n="U" oldref="113"> 329 <emph>Mode</emph> = 1 calculates the one-tailed test, <emph>Mode</emph> = 2 the two- tailed test.</paragraph> 330 <paragraph xml-lang="en-US" id="par_id3155327" role="paragraph" l10n="U" oldref="114"> 331 <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> 332 <paragraph xml-lang="en-US" id="hd_id3159342" role="heading" level="3" l10n="U" 333 oldref="115">Example</paragraph> 334 <paragraph xml-lang="en-US" id="par_id3150119" role="paragraph" l10n="U" oldref="116"> 335 <item type="input">=TTEST(A1:A50;B1:B50;2;2)</item> 336 </paragraph> 337 </section> 338 <section id="tdist"> 339<bookmark xml-lang="en-US" branch="index" id="bm_id3154930"><bookmark_value>TDIST function</bookmark_value> 340 <bookmark_value>t-distribution</bookmark_value> 341</bookmark> 342<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_TVERT" id="bm_id3153095" localize="false"/> 343<paragraph xml-lang="en-US" id="hd_id3154930" role="heading" level="2" l10n="U" 344 oldref="118">TDIST</paragraph> 345 <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> 346 <paragraph xml-lang="en-US" id="hd_id3149911" role="heading" level="3" l10n="U" 347 oldref="120">Syntax</paragraph> 348 <paragraph xml-lang="en-US" id="par_id3150521" role="code" l10n="U" oldref="121">TDIST(Number; DegreesFreedom; Mode)</paragraph> 349 <paragraph xml-lang="en-US" id="par_id3146991" role="paragraph" l10n="U" oldref="122"> 350 <emph>Number</emph> is the value for which the t-distribution is calculated.</paragraph> 351 <paragraph xml-lang="en-US" id="par_id3148824" role="paragraph" l10n="U" oldref="123"> 352 <emph>DegreesFreedom</emph> is the number of degrees of freedom for the t-distribution.</paragraph> 353 <paragraph xml-lang="en-US" id="par_id3149340" role="paragraph" l10n="U" oldref="124"> 354 <emph>Mode</emph> = 1 returns the one-tailed test, <emph>Mode</emph> = 2 returns the two-tailed test.</paragraph> 355 <paragraph xml-lang="en-US" id="hd_id3159150" role="heading" level="3" l10n="U" 356 oldref="125">Example</paragraph> 357 <paragraph xml-lang="en-US" id="par_id3149773" role="paragraph" l10n="U" oldref="126"> 358 <item type="input">=TDIST(12;5;1)</item> 359 </paragraph> 360 </section> 361 <section id="var"> 362<bookmark xml-lang="en-US" branch="index" id="bm_id3153828"><bookmark_value>VAR function</bookmark_value> 363 <bookmark_value>variances</bookmark_value> 364</bookmark> 365<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIANZ" id="bm_id3154898" localize="false"/> 366<paragraph xml-lang="en-US" id="hd_id3153828" role="heading" level="2" l10n="U" 367 oldref="128">VAR</paragraph> 368 <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> 369 <paragraph xml-lang="en-US" id="hd_id3154286" role="heading" level="3" l10n="U" 370 oldref="130">Syntax</paragraph> 371 <paragraph xml-lang="en-US" id="par_id3153054" role="code" l10n="U" oldref="131">VAR(Number1; Number2; ...Number30)</paragraph> 372 <paragraph xml-lang="en-US" id="par_id3148938" role="paragraph" l10n="CHG" oldref="132"> 373 <emph>Number1, Number2, ...Number30</emph> are numerical values or ranges representing a sample based on an entire population.</paragraph> 374 <paragraph xml-lang="en-US" id="hd_id3147233" role="heading" level="3" l10n="U" 375 oldref="133">Example</paragraph> 376 <paragraph xml-lang="en-US" id="par_id3153575" role="paragraph" l10n="U" oldref="134"> 377 <item type="input">=VAR(A1:A50)</item> 378 </paragraph> 379 </section> 380 <section id="vara"> 381<bookmark xml-lang="en-US" branch="index" id="bm_id3151045"><bookmark_value>VARA function</bookmark_value> 382</bookmark> 383<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIANZA" id="bm_id3148473" localize="false"/> 384<paragraph xml-lang="en-US" id="hd_id3151045" role="heading" level="2" l10n="U" 385 oldref="202">VARA</paragraph> 386 <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> 387 <paragraph xml-lang="en-US" id="hd_id3149176" role="heading" level="3" l10n="U" 388 oldref="204">Syntax</paragraph> 389 <paragraph xml-lang="en-US" id="par_id3149999" role="code" l10n="U" oldref="205">VARA(Value1; Value2; ...Value30)</paragraph> 390 <paragraph xml-lang="en-US" id="par_id3158421" role="paragraph" l10n="CHG" oldref="206"> 391 <emph>Value1, Value2,...Value30</emph> are values or ranges representing a sample derived from an entire population. Text has the value 0.</paragraph> 392 <paragraph xml-lang="en-US" id="hd_id3149160" role="heading" level="3" l10n="U" 393 oldref="207">Example</paragraph> 394 <paragraph xml-lang="en-US" id="par_id3154279" role="paragraph" l10n="U" oldref="208"> 395 <item type="input">=VARA(A1:A50)</item> 396 </paragraph> 397 </section> 398 <section id="varp"> 399<bookmark xml-lang="en-US" branch="index" id="bm_id3166441"><bookmark_value>VARP function</bookmark_value> 400</bookmark> 401<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIANZEN" id="bm_id3152359" localize="false"/> 402<paragraph xml-lang="en-US" id="hd_id3166441" role="heading" level="2" l10n="U" 403 oldref="136">VARP</paragraph> 404 <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> 405 <paragraph xml-lang="en-US" id="hd_id3150706" role="heading" level="3" l10n="U" 406 oldref="138">Syntax</paragraph> 407 <paragraph xml-lang="en-US" id="par_id3147282" role="code" l10n="U" oldref="139">VARP(Number1; Number2; ...Number30)</paragraph> 408 <paragraph xml-lang="en-US" id="par_id3149793" role="paragraph" l10n="CHG" oldref="140"> 409 <emph>Number1, Number2, ...Number30</emph> are numerical values or ranges representing an entire population.</paragraph> 410 <paragraph xml-lang="en-US" id="hd_id3152939" role="heading" level="3" l10n="U" 411 oldref="141">Example</paragraph> 412 <paragraph xml-lang="en-US" id="par_id3153385" role="paragraph" l10n="U" oldref="142"> 413 <item type="input">=VARP(A1:A50)</item> 414 </paragraph> 415 </section> 416 <section id="varpa"> 417<bookmark xml-lang="en-US" branch="index" id="bm_id3153688"><bookmark_value>VARPA function</bookmark_value> 418</bookmark> 419<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIANZENA" id="bm_id3159276" localize="false"/> 420<paragraph xml-lang="en-US" id="hd_id3153688" role="heading" level="2" l10n="U" 421 oldref="210">VARPA</paragraph> 422 <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> 423 <paragraph xml-lang="en-US" id="hd_id3152880" role="heading" level="3" l10n="U" 424 oldref="212">Syntax</paragraph> 425 <paragraph xml-lang="en-US" id="par_id3149967" role="code" l10n="U" oldref="213">VARPA(Value1; Value2; ...Value30)</paragraph> 426 <paragraph xml-lang="en-US" id="par_id3149920" role="paragraph" l10n="CHG" oldref="214"> 427 <emph>Value1,value2,...Value30</emph> are values or ranges representing an entire population.</paragraph> 428 <paragraph xml-lang="en-US" id="hd_id3154862" role="heading" level="3" l10n="U" 429 oldref="215">Example</paragraph> 430 <paragraph xml-lang="en-US" id="par_id3156203" role="paragraph" l10n="U" oldref="216"> 431 <item type="input">=VARPA(A1:A50)</item> 432 </paragraph> 433 </section> 434 <section id="permut"> 435<bookmark xml-lang="en-US" branch="index" id="bm_id3154599"><bookmark_value>PERMUT function</bookmark_value> 436 <bookmark_value>number of permutations</bookmark_value> 437</bookmark> 438<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIATIONEN" id="bm_id3154610" localize="false"/> 439<paragraph xml-lang="en-US" id="hd_id3154599" role="heading" level="2" l10n="U" 440 oldref="144">PERMUT</paragraph> 441 <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> 442 <paragraph xml-lang="en-US" id="hd_id3149422" role="heading" level="3" l10n="U" 443 oldref="146">Syntax</paragraph> 444 <paragraph xml-lang="en-US" id="par_id3148466" role="code" l10n="U" oldref="147">PERMUT(Count1; Count2)</paragraph> 445 <paragraph xml-lang="en-US" id="par_id3148656" role="paragraph" l10n="U" oldref="148"> 446 <emph>Count1</emph> is the total number of objects.</paragraph> 447 <paragraph xml-lang="en-US" id="par_id3150826" role="paragraph" l10n="U" oldref="149"> 448 <emph>Count2</emph> is the number of objects in each permutation.</paragraph> 449 <paragraph xml-lang="en-US" id="hd_id3153351" role="heading" level="3" l10n="U" 450 oldref="150">Example</paragraph> 451 <paragraph xml-lang="en-US" id="par_id3150424" role="paragraph" l10n="U" oldref="151"> 452 <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> 453 </section> 454 <section id="permutationa"> 455<bookmark xml-lang="en-US" branch="index" id="bm_id3143276"><bookmark_value>PERMUTATIONA function</bookmark_value> 456</bookmark> 457<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIATIONEN2" id="bm_id3153531" localize="false"/> 458<paragraph xml-lang="en-US" id="hd_id3143276" role="heading" level="2" l10n="U" 459 oldref="153">PERMUTATIONA</paragraph> 460 <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> 461 <paragraph xml-lang="en-US" id="hd_id3145598" role="heading" level="3" l10n="U" 462 oldref="155">Syntax</paragraph> 463 <paragraph xml-lang="en-US" id="par_id3149298" role="code" l10n="U" oldref="156">PERMUTATIONA(Count1; Count2)</paragraph> 464 <paragraph xml-lang="en-US" id="par_id3156139" role="paragraph" l10n="U" oldref="157"> 465 <emph>Count1</emph> is the total number of objects.</paragraph> 466 <paragraph xml-lang="en-US" id="par_id3149519" role="paragraph" l10n="U" oldref="158"> 467 <emph>Count2</emph> is the number of objects in each permutation.</paragraph> 468 <paragraph xml-lang="en-US" id="hd_id3151382" role="heading" level="3" l10n="U" 469 oldref="159">Example</paragraph> 470 <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> 471 <paragraph xml-lang="en-US" id="par_id3149233" role="paragraph" l10n="U" oldref="161"> 472 <item type="input">=PERMUTATIONA(11;2)</item> returns 121.</paragraph> 473 <paragraph xml-lang="en-US" id="par_id3150622" role="paragraph" l10n="U" oldref="162"> 474 <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> 475 </section> 476 <section id="prob"> 477<bookmark xml-lang="en-US" branch="index" id="bm_id3152952"><bookmark_value>PROB function</bookmark_value> 478</bookmark> 479<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_WAHRSCHBEREICH" id="bm_id3152963" localize="false"/> 480<paragraph xml-lang="en-US" id="hd_id3152952" role="heading" level="2" l10n="U" 481 oldref="164">PROB</paragraph> 482 <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> 483 <paragraph xml-lang="en-US" id="hd_id3146810" role="heading" level="3" l10n="U" 484 oldref="166">Syntax</paragraph> 485 <paragraph xml-lang="en-US" id="par_id3147330" role="code" l10n="U" oldref="167">PROB(Data; Probability; Start; End)</paragraph> 486 <paragraph xml-lang="en-US" id="par_id3154573" role="paragraph" l10n="U" oldref="168"> 487 <emph>Data</emph> is the array or range of data in the sample.</paragraph> 488 <paragraph xml-lang="en-US" id="par_id3156334" role="paragraph" l10n="U" oldref="169"> 489 <emph>Probability</emph> is the array or range of the corresponding probabilities.</paragraph> 490 <paragraph xml-lang="en-US" id="par_id3151107" role="paragraph" l10n="U" oldref="170"> 491 <emph>Start</emph> is the start value of the interval whose probabilities are to be summed.</paragraph> 492 <paragraph xml-lang="en-US" id="par_id3153694" role="paragraph" l10n="U" oldref="171"> 493 <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> 494 <paragraph xml-lang="en-US" id="hd_id3147574" role="heading" level="3" l10n="U" 495 oldref="172">Example</paragraph> 496 <paragraph xml-lang="en-US" id="par_id3153666" role="paragraph" l10n="U" oldref="173"> 497 <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> 498 </section> 499 <section id="weibull"> 500<bookmark xml-lang="en-US" branch="index" id="bm_id3150941"><bookmark_value>WEIBULL function</bookmark_value> 501</bookmark> 502<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_WEIBULL" id="bm_id3150405" localize="false"/> 503<paragraph xml-lang="en-US" id="hd_id3150941" role="heading" level="2" l10n="U" 504 oldref="175">WEIBULL</paragraph> 505 <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> 506 <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> 507 <paragraph xml-lang="en-US" id="par_id0305200911372777" role="paragraph" l10n="NEW">If C is 0, WEIBULL calculates the probability density function.</paragraph> 508 <paragraph xml-lang="en-US" id="par_id0305200911372743" role="paragraph" l10n="NEW">If C is 1, WEIBULL calculates the cumulative distribution function.</paragraph> 509 <paragraph xml-lang="en-US" id="hd_id3159393" role="heading" level="3" l10n="U" 510 oldref="177">Syntax</paragraph> 511 <paragraph xml-lang="en-US" id="par_id3154478" role="code" l10n="U" oldref="178">WEIBULL(Number; Alpha; Beta; C)</paragraph> 512 <paragraph xml-lang="en-US" id="par_id3151317" role="paragraph" l10n="U" oldref="179"> 513 <emph>Number</emph> is the value at which to calculate the Weibull distribution.</paragraph> 514 <paragraph xml-lang="en-US" id="par_id3158436" role="paragraph" l10n="U" oldref="180"> 515 <emph>Alpha </emph>is the shape parameter of the Weibull distribution.</paragraph> 516 <paragraph xml-lang="en-US" id="par_id3154668" role="paragraph" l10n="U" oldref="181"> 517 <emph>Beta</emph> is the scale parameter of the Weibull distribution.</paragraph> 518 <paragraph xml-lang="en-US" id="par_id3154825" role="paragraph" l10n="CHG" oldref="182"> 519 <emph>C</emph> indicates the type of function.</paragraph> 520 <paragraph xml-lang="en-US" id="hd_id3153794" role="heading" level="3" l10n="U" 521 oldref="183">Example</paragraph> 522 <paragraph xml-lang="en-US" id="par_id3146077" role="paragraph" l10n="U" oldref="184"> 523 <item type="input">=WEIBULL(2;1;1;1)</item> returns 0.86.</paragraph> 524 <paragraph xml-lang="en-US" id="par_id0305200911372899" role="paragraph" l10n="NEW">See also the <link href="http://wiki.services.openoffice.org/wiki/Documentation/How_Tos/Calc:_WEIBULL_function">Wiki page</link>.</paragraph> 525 </section> 526</sort> 527<section id="relatedtopics"> 528 <embed href="text/scalc/01/04060100.xhp#drking"/> 529 </section> 530 </body> 531</helpdocument>