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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"> 59<bookmark_value>SKEW function</bookmark_value> 60</bookmark> 61<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_SCHIEFE" id="bm_id3153801" localize="false"/> 62<paragraph xml-lang="en-US" id="hd_id3153556" role="heading" level="2" l10n="U" 63oldref="12">SKEW</paragraph> 64<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> 65<paragraph xml-lang="en-US" id="hd_id3154733" role="heading" level="3" l10n="U" 66oldref="14">Syntax</paragraph> 67<paragraph xml-lang="en-US" id="par_id3151191" role="code" l10n="U" oldref="15">SKEW(Number1; Number2; ...Number30)</paragraph> 68<paragraph xml-lang="en-US" id="par_id3155757" role="paragraph" l10n="CHG" oldref="16"> 69<emph>Number1, Number2...Number30</emph> are numerical values or ranges.</paragraph> 70<paragraph xml-lang="en-US" id="hd_id3153297" role="heading" level="3" l10n="U" 71oldref="17">Example</paragraph> 72<paragraph xml-lang="en-US" id="par_id3145118" role="paragraph" l10n="U" oldref="18"> 73<item type="input">=SKEW(A1:A50)</item> calculates the value of skew for the data referenced.</paragraph> 74</section> 75<section id="forecast"> 76<bookmark xml-lang="en-US" branch="index" id="bm_id3149051"> 77<bookmark_value>regression lines;FORECAST function</bookmark_value> 78<bookmark_value>extrapolations</bookmark_value> 79<bookmark_value>FORECAST function</bookmark_value> 80</bookmark> 81<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> 82<paragraph xml-lang="en-US" id="hd_id3149051" role="heading" level="2" l10n="U" 83oldref="20">FORECAST</paragraph> 84<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> 85<paragraph xml-lang="en-US" id="hd_id3151343" role="heading" level="3" l10n="U" 86oldref="22">Syntax</paragraph> 87<paragraph xml-lang="en-US" id="par_id3147404" role="code" l10n="U" oldref="23">FORECAST(Value; DataY; DataX)</paragraph> 88<paragraph xml-lang="en-US" id="par_id3148743" role="paragraph" l10n="U" oldref="24"> 89<emph>Value</emph> is the x value, for which the y value on the linear regression is to be returned.</paragraph> 90<paragraph xml-lang="en-US" id="par_id3146325" role="paragraph" l10n="U" oldref="25"> 91<emph>DataY</emph> is the array or range of known y's.</paragraph> 92<paragraph xml-lang="en-US" id="par_id3150536" role="paragraph" l10n="U" oldref="26"> 93<emph>DataX</emph> is the array or range of known x's.</paragraph> 94<paragraph xml-lang="en-US" id="hd_id3147416" role="heading" level="3" l10n="U" 95oldref="27">Example</paragraph> 96<paragraph xml-lang="en-US" id="par_id3157874" role="paragraph" l10n="U" oldref="28"> 97<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> 98</section> 99<section id="stdev"> 100<bookmark xml-lang="en-US" branch="index" id="bm_id3149143"> 101<bookmark_value>STDEV function</bookmark_value> 102<bookmark_value>standard deviations in statistics;based on a sample</bookmark_value> 103</bookmark> 104<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STABW" id="bm_id3153121" localize="false"/> 105<paragraph xml-lang="en-US" id="hd_id3149143" role="heading" level="2" l10n="U" 106oldref="30">STDEV</paragraph> 107<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> 108<paragraph xml-lang="en-US" id="hd_id3146815" role="heading" level="3" l10n="U" 109oldref="32">Syntax</paragraph> 110<paragraph xml-lang="en-US" id="par_id3149946" role="code" l10n="U" oldref="33">STDEV(Number1;Number2;...Number30)</paragraph> 111<paragraph xml-lang="en-US" id="par_id3157904" role="paragraph" l10n="CHG" oldref="34"> 112<emph>Number1, Number2, ... Number30</emph> are numerical values or ranges representing a sample based on an entire population.</paragraph> 113<paragraph xml-lang="en-US" id="hd_id3150650" role="heading" level="3" l10n="U" 114oldref="35">Example</paragraph> 115<paragraph xml-lang="en-US" id="par_id3149434" role="paragraph" l10n="U" oldref="36"> 116<item type="input">=STDEV(A1:A50)</item> returns the estimated standard deviation based on the data referenced.</paragraph> 117</section> 118<section id="stdeva"> 119<bookmark xml-lang="en-US" branch="index" id="bm_id3144745"> 120<bookmark_value>STDEVA function</bookmark_value> 121</bookmark> 122<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STABWA" id="bm_id3154846" localize="false"/> 123<paragraph xml-lang="en-US" id="hd_id3144745" role="heading" level="2" l10n="U" 124oldref="186">STDEVA</paragraph> 125<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> 126<paragraph xml-lang="en-US" id="hd_id3148884" role="heading" level="3" l10n="U" 127oldref="188">Syntax</paragraph> 128<paragraph xml-lang="en-US" id="par_id3147422" role="code" l10n="U" oldref="189">STDEVA(Value1;Value2;...Value30)</paragraph> 129<paragraph xml-lang="en-US" id="par_id3154547" role="paragraph" l10n="CHG" oldref="190"> 130<emph>Value1, Value2, ...Value30</emph> are values or ranges representing a sample derived from an entire population. Text has the value 0.</paragraph> 131<paragraph xml-lang="en-US" id="hd_id3155829" role="heading" level="3" l10n="U" 132oldref="191">Example</paragraph> 133<paragraph xml-lang="en-US" id="par_id3148581" role="paragraph" l10n="U" oldref="192"> 134<item type="input">=STDEVA(A1:A50)</item> returns the estimated standard deviation based on the data referenced.</paragraph> 135</section> 136<section id="stdevp"> 137<bookmark xml-lang="en-US" branch="index" id="bm_id3149734"> 138<bookmark_value>STDEVP function</bookmark_value> 139<bookmark_value>standard deviations in statistics;based on a population</bookmark_value> 140</bookmark> 141<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STABWN" id="bm_id3146139" localize="false"/> 142<paragraph xml-lang="en-US" id="hd_id3149734" role="heading" level="2" l10n="U" 143oldref="38">STDEVP</paragraph> 144<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> 145<paragraph xml-lang="en-US" id="hd_id3154387" role="heading" level="3" l10n="U" 146oldref="40">Syntax</paragraph> 147<paragraph xml-lang="en-US" id="par_id3154392" role="code" l10n="U" oldref="41">STDEVP(Number1;Number2;...Number30)</paragraph> 148<paragraph xml-lang="en-US" id="par_id3155261" role="paragraph" l10n="CHG" oldref="42"> 149<emph>Number 1,Number 2,...Number 30</emph> are numerical values or ranges representing a sample based on an entire population.</paragraph> 150<paragraph xml-lang="en-US" id="hd_id3145591" role="heading" level="3" l10n="U" 151oldref="43">Example</paragraph> 152<paragraph xml-lang="en-US" id="par_id3153933" role="paragraph" l10n="U" oldref="44"> 153<item type="input">=STDEVP(A1:A50)</item> returns a standard deviation of the data referenced.</paragraph> 154</section> 155<section id="stdevpa"> 156<bookmark xml-lang="en-US" branch="index" id="bm_id3154522"> 157<bookmark_value>STDEVPA function</bookmark_value> 158</bookmark> 159<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STABWNA" id="bm_id3150902" localize="false"/> 160<paragraph xml-lang="en-US" id="hd_id3154522" role="heading" level="2" l10n="U" 161oldref="194">STDEVPA</paragraph> 162<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> 163<paragraph xml-lang="en-US" id="hd_id3155950" role="heading" level="3" l10n="U" 164oldref="196">Syntax</paragraph> 165<paragraph xml-lang="en-US" id="par_id3146851" role="code" l10n="U" oldref="197">STDEVPA(Value1;Value2;...Value30)</paragraph> 166<paragraph xml-lang="en-US" id="par_id3153109" role="paragraph" l10n="CHG" oldref="198"> 167<emph>Value1,value2,...value30</emph> are values or ranges representing a sample derived from an entire population. Text has the value 0.</paragraph> 168<paragraph xml-lang="en-US" id="hd_id3154506" role="heading" level="3" l10n="U" 169oldref="199">Example</paragraph> 170<paragraph xml-lang="en-US" id="par_id3145163" role="paragraph" l10n="U" oldref="200"> 171<item type="input">=STDEVPA(A1:A50)</item> returns the standard deviation of the data referenced.</paragraph> 172</section> 173<section id="standardize"> 174<bookmark xml-lang="en-US" branch="index" id="bm_id3155928"> 175<bookmark_value>STANDARDIZE function</bookmark_value> 176<bookmark_value>converting;random variables, into normalized values</bookmark_value> 177</bookmark> 178<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STANDARDISIERUNG" id="bm_id3148764" localize="false"/> 179<paragraph xml-lang="en-US" id="hd_id3155928" role="heading" level="2" l10n="U" 180oldref="46">STANDARDIZE</paragraph> 181<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> 182<paragraph xml-lang="en-US" id="hd_id3154330" role="heading" level="3" l10n="U" 183oldref="48">Syntax</paragraph> 184<paragraph xml-lang="en-US" id="par_id3150132" role="code" l10n="U" oldref="49">STANDARDIZE(Number; Mean; StDev)</paragraph> 185<paragraph xml-lang="en-US" id="par_id3159139" role="paragraph" l10n="U" oldref="50"> 186<emph>Number</emph> is the value to be standardized.</paragraph> 187<paragraph xml-lang="en-US" id="par_id3145241" role="paragraph" l10n="U" oldref="51"> 188<emph>Mean</emph> is the arithmetic mean of the distribution.</paragraph> 189<paragraph xml-lang="en-US" id="par_id3148874" role="paragraph" l10n="U" oldref="52"> 190<emph>StDev</emph> is the standard deviation of the distribution.</paragraph> 191<paragraph xml-lang="en-US" id="hd_id3145351" role="heading" level="3" l10n="U" 192oldref="53">Example</paragraph> 193<paragraph xml-lang="en-US" id="par_id3156067" role="paragraph" l10n="U" oldref="54"> 194<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> 195</section> 196<section id="normsinv"> 197<bookmark xml-lang="en-US" branch="index" id="bm_id3157986"> 198<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" 203oldref="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" 206oldref="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" 211oldref="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"> 217<bookmark_value>NORMSDIST function</bookmark_value> 218<bookmark_value>normal distribution;statistics</bookmark_value> 219</bookmark> 220<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STANDNORMVERT" id="bm_id3145269" localize="false"/> 221<paragraph xml-lang="en-US" id="hd_id3147538" role="heading" level="2" l10n="U" 222oldref="64">NORMSDIST</paragraph> 223<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> 224<paragraph xml-lang="en-US" id="par_id8652302" role="paragraph" l10n="NEW">It is GAUSS(x)=NORMSDIST(x)-0.5</paragraph> 225<paragraph xml-lang="en-US" id="hd_id3155083" role="heading" level="3" l10n="U" 226oldref="66">Syntax</paragraph> 227<paragraph xml-lang="en-US" id="par_id3158411" role="code" l10n="U" oldref="67">NORMSDIST(Number)</paragraph> 228<paragraph xml-lang="en-US" id="par_id3154950" role="paragraph" l10n="CHG" oldref="68"> 229<emph>Number</emph> is the value to which the standard normal cumulative distribution is calculated.</paragraph> 230<paragraph xml-lang="en-US" id="hd_id3153228" role="heading" level="3" l10n="U" 231oldref="69">Example</paragraph> 232<paragraph xml-lang="en-US" id="par_id3155984" role="paragraph" l10n="U" oldref="70"> 233<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> 234</section> 235<section id="slope"> 236<bookmark xml-lang="en-US" branch="index" id="bm_id3152592"> 237<bookmark_value>SLOPE function</bookmark_value> 238</bookmark> 239<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STEIGUNG" id="bm_id3153716" localize="false"/> 240<paragraph xml-lang="en-US" id="hd_id3152592" role="heading" level="2" l10n="U" 241oldref="72">SLOPE</paragraph> 242<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> 243<paragraph xml-lang="en-US" id="hd_id3154315" role="heading" level="3" l10n="U" 244oldref="74">Syntax</paragraph> 245<paragraph xml-lang="en-US" id="par_id3149819" role="code" l10n="U" oldref="75">SLOPE(DataY; DataX)</paragraph> 246<paragraph xml-lang="en-US" id="par_id3083446" role="paragraph" l10n="U" oldref="76"> 247<emph>DataY</emph> is the array or matrix of Y data.</paragraph> 248<paragraph xml-lang="en-US" id="par_id3152375" role="paragraph" l10n="U" oldref="77"> 249<emph>DataX</emph> is the array or matrix of X data.</paragraph> 250<paragraph xml-lang="en-US" id="hd_id3146061" role="heading" level="3" l10n="U" 251oldref="78">Example</paragraph> 252<paragraph xml-lang="en-US" id="par_id3152480" role="paragraph" l10n="U" oldref="79"> 253<item type="input">=SLOPE(A1:A50;B1:B50)</item> 254</paragraph> 255</section> 256<section id="steyx"> 257<bookmark xml-lang="en-US" branch="index" id="bm_id3155836"> 258<bookmark_value>STEYX function</bookmark_value> 259<bookmark_value>standard errors;statistical functions</bookmark_value> 260</bookmark><comment>mw changed "standard errors"</comment> 261<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_STFEHLERYX" id="bm_id3150964" localize="false"/> 262<paragraph xml-lang="en-US" id="hd_id3155836" role="heading" level="2" l10n="U" 263oldref="81">STEYX</paragraph> 264<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> 265<paragraph xml-lang="en-US" id="hd_id3147562" role="heading" level="3" l10n="U" 266oldref="83">Syntax</paragraph> 267<paragraph xml-lang="en-US" id="par_id3151267" role="code" l10n="U" oldref="84">STEYX(DataY; DataX)</paragraph> 268<paragraph xml-lang="en-US" id="par_id3147313" role="paragraph" l10n="U" oldref="85"> 269<emph>DataY</emph> is the array or matrix of Y data.</paragraph> 270<paragraph xml-lang="en-US" id="par_id3156097" role="paragraph" l10n="U" oldref="86"> 271<emph>DataX</emph> is the array or matrix of X data.</paragraph> 272<paragraph xml-lang="en-US" id="hd_id3145204" role="heading" level="3" l10n="U" 273oldref="87">Example</paragraph> 274<paragraph xml-lang="en-US" id="par_id3156131" role="paragraph" l10n="U" oldref="88"> 275<item type="input">=STEXY(A1:A50;B1:B50)</item> 276</paragraph> 277</section> 278<section id="devsq"> 279<bookmark xml-lang="en-US" branch="index" id="bm_id3150873"> 280<bookmark_value>DEVSQ function</bookmark_value> 281<bookmark_value>sums;of squares of deviations</bookmark_value> 282</bookmark> 283<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_SUMQUADABW" id="bm_id3156317" localize="false"/> 284<paragraph xml-lang="en-US" id="hd_id3150873" role="heading" level="2" l10n="U" 285oldref="90">DEVSQ</paragraph> 286<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> 287<paragraph xml-lang="en-US" id="hd_id3156121" role="heading" level="3" l10n="U" 288oldref="92">Syntax</paragraph> 289<paragraph xml-lang="en-US" id="par_id3146790" role="code" l10n="U" oldref="93">DEVSQ(Number1; Number2; ...Number30)</paragraph> 290<paragraph xml-lang="en-US" id="par_id3155995" role="paragraph" l10n="CHG" oldref="94"> 291<emph>Number1, Number2, ...Number30</emph> numerical values or ranges representing a sample.</paragraph> 292<paragraph xml-lang="en-US" id="hd_id3150254" role="heading" level="3" l10n="U" 293oldref="95">Example</paragraph> 294<paragraph xml-lang="en-US" id="par_id3149136" role="paragraph" l10n="U" oldref="96"> 295<item type="input">=DEVSQ(A1:A50)</item> 296</paragraph> 297</section> 298<section id="tinv"> 299<bookmark xml-lang="en-US" branch="index" id="bm_id3149579"> 300<bookmark_value>TINV function</bookmark_value> 301<bookmark_value>inverse of t-distribution</bookmark_value> 302</bookmark> 303<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_TINV" id="bm_id3153155" localize="false"/> 304<paragraph xml-lang="en-US" id="hd_id3149579" role="heading" level="2" l10n="U" 305oldref="98">TINV</paragraph> 306<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> 307<paragraph xml-lang="en-US" id="hd_id3155101" role="heading" level="3" l10n="U" 308oldref="100">Syntax</paragraph> 309<paragraph xml-lang="en-US" id="par_id3149289" role="code" l10n="U" oldref="101">TINV(Number; DegreesFreedom)</paragraph> 310<paragraph xml-lang="en-US" id="par_id3154070" role="paragraph" l10n="U" oldref="102"> 311<emph>Number</emph> is the probability associated with the two-tailed t-distribution.</paragraph> 312<paragraph xml-lang="en-US" id="par_id3155315" role="paragraph" l10n="U" oldref="103"> 313<emph>DegreesFreedom</emph> is the number of degrees of freedom for the t-distribution.</paragraph> 314<paragraph xml-lang="en-US" id="hd_id3153885" role="heading" level="3" l10n="U" 315oldref="104">Example</paragraph> 316<paragraph xml-lang="en-US" id="par_id3156010" role="paragraph" l10n="CHG" oldref="105"> 317<item type="input">=TINV(0.1;6)</item> returns 1.94</paragraph> 318</section> 319<section id="ttest"> 320<bookmark xml-lang="en-US" branch="index" id="bm_id3154129"> 321<bookmark_value>TTEST function</bookmark_value> 322</bookmark> 323<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_TTEST" id="bm_id3153981" localize="false"/> 324<paragraph xml-lang="en-US" id="hd_id3154129" role="heading" level="2" l10n="U" 325oldref="107">TTEST</paragraph> 326<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> 327<paragraph xml-lang="en-US" id="hd_id3147257" role="heading" level="3" l10n="U" 328oldref="109">Syntax</paragraph> 329<paragraph xml-lang="en-US" id="par_id3151175" role="code" l10n="U" oldref="110">TTEST(Data1; Data2; Mode; Type)</paragraph> 330<paragraph xml-lang="en-US" id="par_id3149202" role="paragraph" l10n="U" oldref="111"> 331<emph>Data1</emph> is the dependent array or range of data for the first record.</paragraph> 332<paragraph xml-lang="en-US" id="par_id3145666" role="paragraph" l10n="U" oldref="112"> 333<emph>Data2</emph> is the dependent array or range of data for the second record.</paragraph> 334<paragraph xml-lang="en-US" id="par_id3153903" role="paragraph" l10n="U" oldref="113"> 335<emph>Mode</emph> = 1 calculates the one-tailed test, <emph>Mode</emph> = 2 the two- tailed test.</paragraph> 336<paragraph xml-lang="en-US" id="par_id3155327" role="paragraph" l10n="U" oldref="114"> 337<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> 338<paragraph xml-lang="en-US" id="hd_id3159342" role="heading" level="3" l10n="U" 339oldref="115">Example</paragraph> 340<paragraph xml-lang="en-US" id="par_id3150119" role="paragraph" l10n="U" oldref="116"> 341<item type="input">=TTEST(A1:A50;B1:B50;2;2)</item> 342</paragraph> 343</section> 344<section id="tdist"> 345<bookmark xml-lang="en-US" branch="index" id="bm_id3154930"> 346<bookmark_value>TDIST function</bookmark_value> 347<bookmark_value>t-distribution</bookmark_value> 348</bookmark> 349<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_TVERT" id="bm_id3153095" localize="false"/> 350<paragraph xml-lang="en-US" id="hd_id3154930" role="heading" level="2" l10n="U" 351oldref="118">TDIST</paragraph> 352<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> 353<paragraph xml-lang="en-US" id="hd_id3149911" role="heading" level="3" l10n="U" 354oldref="120">Syntax</paragraph> 355<paragraph xml-lang="en-US" id="par_id3150521" role="code" l10n="U" oldref="121">TDIST(Number; DegreesFreedom; Mode)</paragraph> 356<paragraph xml-lang="en-US" id="par_id3146991" role="paragraph" l10n="U" oldref="122"> 357<emph>Number</emph> is the value for which the t-distribution is calculated.</paragraph> 358<paragraph xml-lang="en-US" id="par_id3148824" role="paragraph" l10n="U" oldref="123"> 359<emph>DegreesFreedom</emph> is the number of degrees of freedom for the t-distribution.</paragraph> 360<paragraph xml-lang="en-US" id="par_id3149340" role="paragraph" l10n="U" oldref="124"> 361<emph>Mode</emph> = 1 returns the one-tailed test, <emph>Mode</emph> = 2 returns the two-tailed test.</paragraph> 362<paragraph xml-lang="en-US" id="hd_id3159150" role="heading" level="3" l10n="U" 363oldref="125">Example</paragraph> 364<paragraph xml-lang="en-US" id="par_id3149773" role="paragraph" l10n="U" oldref="126"> 365<item type="input">=TDIST(12;5;1)</item> 366</paragraph> 367</section> 368<section id="var"> 369<bookmark xml-lang="en-US" branch="index" id="bm_id3153828"> 370<bookmark_value>VAR function</bookmark_value> 371<bookmark_value>variances</bookmark_value> 372</bookmark> 373<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIANZ" id="bm_id3154898" localize="false"/> 374<paragraph xml-lang="en-US" id="hd_id3153828" role="heading" level="2" l10n="U" 375oldref="128">VAR</paragraph> 376<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> 377<paragraph xml-lang="en-US" id="hd_id3154286" role="heading" level="3" l10n="U" 378oldref="130">Syntax</paragraph> 379<paragraph xml-lang="en-US" id="par_id3153054" role="code" l10n="U" oldref="131">VAR(Number1; Number2; ...Number30)</paragraph> 380<paragraph xml-lang="en-US" id="par_id3148938" role="paragraph" l10n="CHG" oldref="132"> 381<emph>Number1, Number2, ...Number30</emph> are numerical values or ranges representing a sample based on an entire population.</paragraph> 382<paragraph xml-lang="en-US" id="hd_id3147233" role="heading" level="3" l10n="U" 383oldref="133">Example</paragraph> 384<paragraph xml-lang="en-US" id="par_id3153575" role="paragraph" l10n="U" oldref="134"> 385<item type="input">=VAR(A1:A50)</item> 386</paragraph> 387</section> 388<section id="vara"> 389<bookmark xml-lang="en-US" branch="index" id="bm_id3151045"> 390<bookmark_value>VARA function</bookmark_value> 391</bookmark> 392<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIANZA" id="bm_id3148473" localize="false"/> 393<paragraph xml-lang="en-US" id="hd_id3151045" role="heading" level="2" l10n="U" 394oldref="202">VARA</paragraph> 395<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> 396<paragraph xml-lang="en-US" id="hd_id3149176" role="heading" level="3" l10n="U" 397oldref="204">Syntax</paragraph> 398<paragraph xml-lang="en-US" id="par_id3149999" role="code" l10n="U" oldref="205">VARA(Value1; Value2; ...Value30)</paragraph> 399<paragraph xml-lang="en-US" id="par_id3158421" role="paragraph" l10n="CHG" oldref="206"> 400<emph>Value1, Value2,...Value30</emph> are values or ranges representing a sample derived from an entire population. Text has the value 0.</paragraph> 401<paragraph xml-lang="en-US" id="hd_id3149160" role="heading" level="3" l10n="U" 402oldref="207">Example</paragraph> 403<paragraph xml-lang="en-US" id="par_id3154279" role="paragraph" l10n="U" oldref="208"> 404<item type="input">=VARA(A1:A50)</item> 405</paragraph> 406</section> 407<section id="varp"> 408<bookmark xml-lang="en-US" branch="index" id="bm_id3166441"> 409<bookmark_value>VARP function</bookmark_value> 410</bookmark> 411<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIANZEN" id="bm_id3152359" localize="false"/> 412<paragraph xml-lang="en-US" id="hd_id3166441" role="heading" level="2" l10n="U" 413oldref="136">VARP</paragraph> 414<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> 415<paragraph xml-lang="en-US" id="hd_id3150706" role="heading" level="3" l10n="U" 416oldref="138">Syntax</paragraph> 417<paragraph xml-lang="en-US" id="par_id3147282" role="code" l10n="U" oldref="139">VARP(Number1; Number2; ...Number30)</paragraph> 418<paragraph xml-lang="en-US" id="par_id3149793" role="paragraph" l10n="CHG" oldref="140"> 419<emph>Number1, Number2, ...Number30</emph> are numerical values or ranges representing an entire population.</paragraph> 420<paragraph xml-lang="en-US" id="hd_id3152939" role="heading" level="3" l10n="U" 421oldref="141">Example</paragraph> 422<paragraph xml-lang="en-US" id="par_id3153385" role="paragraph" l10n="U" oldref="142"> 423<item type="input">=VARP(A1:A50)</item> 424</paragraph> 425</section> 426<section id="varpa"> 427<bookmark xml-lang="en-US" branch="index" id="bm_id3153688"> 428<bookmark_value>VARPA function</bookmark_value> 429</bookmark> 430<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIANZENA" id="bm_id3159276" localize="false"/> 431<paragraph xml-lang="en-US" id="hd_id3153688" role="heading" level="2" l10n="U" 432oldref="210">VARPA</paragraph> 433<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> 434<paragraph xml-lang="en-US" id="hd_id3152880" role="heading" level="3" l10n="U" 435oldref="212">Syntax</paragraph> 436<paragraph xml-lang="en-US" id="par_id3149967" role="code" l10n="U" oldref="213">VARPA(Value1; Value2; ...Value30)</paragraph> 437<paragraph xml-lang="en-US" id="par_id3149920" role="paragraph" l10n="CHG" oldref="214"> 438<emph>Value1,value2,...Value30</emph> are values or ranges representing an entire population.</paragraph> 439<paragraph xml-lang="en-US" id="hd_id3154862" role="heading" level="3" l10n="U" 440oldref="215">Example</paragraph> 441<paragraph xml-lang="en-US" id="par_id3156203" role="paragraph" l10n="U" oldref="216"> 442<item type="input">=VARPA(A1:A50)</item> 443</paragraph> 444</section> 445<section id="permut"> 446<bookmark xml-lang="en-US" branch="index" id="bm_id3154599"> 447<bookmark_value>PERMUT function</bookmark_value> 448<bookmark_value>number of permutations</bookmark_value> 449</bookmark> 450<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIATIONEN" id="bm_id3154610" localize="false"/> 451<paragraph xml-lang="en-US" id="hd_id3154599" role="heading" level="2" l10n="U" 452oldref="144">PERMUT</paragraph> 453<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> 454<paragraph xml-lang="en-US" id="hd_id3149422" role="heading" level="3" l10n="U" 455oldref="146">Syntax</paragraph> 456<paragraph xml-lang="en-US" id="par_id3148466" role="code" l10n="U" oldref="147">PERMUT(Count1; Count2)</paragraph> 457<paragraph xml-lang="en-US" id="par_id3148656" role="paragraph" l10n="U" oldref="148"> 458<emph>Count1</emph> is the total number of objects.</paragraph> 459<paragraph xml-lang="en-US" id="par_id3150826" role="paragraph" l10n="U" oldref="149"> 460<emph>Count2</emph> is the number of objects in each permutation.</paragraph> 461<paragraph xml-lang="en-US" id="hd_id3153351" role="heading" level="3" l10n="U" 462oldref="150">Example</paragraph> 463<paragraph xml-lang="en-US" id="par_id3150424" role="paragraph" l10n="U" oldref="151"> 464<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> 465</section> 466<section id="permutationa"> 467<bookmark xml-lang="en-US" branch="index" id="bm_id3143276"> 468<bookmark_value>PERMUTATIONA function</bookmark_value> 469</bookmark> 470<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_VARIATIONEN2" id="bm_id3153531" localize="false"/> 471<paragraph xml-lang="en-US" id="hd_id3143276" role="heading" level="2" l10n="U" 472oldref="153">PERMUTATIONA</paragraph> 473<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> 474<paragraph xml-lang="en-US" id="hd_id3145598" role="heading" level="3" l10n="U" 475oldref="155">Syntax</paragraph> 476<paragraph xml-lang="en-US" id="par_id3149298" role="code" l10n="U" oldref="156">PERMUTATIONA(Count1; Count2)</paragraph> 477<paragraph xml-lang="en-US" id="par_id3156139" role="paragraph" l10n="U" oldref="157"> 478<emph>Count1</emph> is the total number of objects.</paragraph> 479<paragraph xml-lang="en-US" id="par_id3149519" role="paragraph" l10n="U" oldref="158"> 480<emph>Count2</emph> is the number of objects in each permutation.</paragraph> 481<paragraph xml-lang="en-US" id="hd_id3151382" role="heading" level="3" l10n="U" 482oldref="159">Example</paragraph> 483<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> 484<paragraph xml-lang="en-US" id="par_id3149233" role="paragraph" l10n="U" oldref="161"> 485<item type="input">=PERMUTATIONA(11;2)</item> returns 121.</paragraph> 486<paragraph xml-lang="en-US" id="par_id3150622" role="paragraph" l10n="U" oldref="162"> 487<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> 488</section> 489<section id="prob"> 490<bookmark xml-lang="en-US" branch="index" id="bm_id3152952"> 491<bookmark_value>PROB function</bookmark_value> 492</bookmark> 493<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_WAHRSCHBEREICH" id="bm_id3152963" localize="false"/> 494<paragraph xml-lang="en-US" id="hd_id3152952" role="heading" level="2" l10n="U" 495oldref="164">PROB</paragraph> 496<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> 497<paragraph xml-lang="en-US" id="hd_id3146810" role="heading" level="3" l10n="U" 498oldref="166">Syntax</paragraph> 499<paragraph xml-lang="en-US" id="par_id3147330" role="code" l10n="U" oldref="167">PROB(Data; Probability; Start; End)</paragraph> 500<paragraph xml-lang="en-US" id="par_id3154573" role="paragraph" l10n="U" oldref="168"> 501<emph>Data</emph> is the array or range of data in the sample.</paragraph> 502<paragraph xml-lang="en-US" id="par_id3156334" role="paragraph" l10n="U" oldref="169"> 503<emph>Probability</emph> is the array or range of the corresponding probabilities.</paragraph> 504<paragraph xml-lang="en-US" id="par_id3151107" role="paragraph" l10n="U" oldref="170"> 505<emph>Start</emph> is the start value of the interval whose probabilities are to be summed.</paragraph> 506<paragraph xml-lang="en-US" id="par_id3153694" role="paragraph" l10n="U" oldref="171"> 507<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> 508<paragraph xml-lang="en-US" id="hd_id3147574" role="heading" level="3" l10n="U" 509oldref="172">Example</paragraph> 510<paragraph xml-lang="en-US" id="par_id3153666" role="paragraph" l10n="U" oldref="173"> 511<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> 512</section> 513<section id="weibull"> 514<bookmark xml-lang="en-US" branch="index" id="bm_id3150941"> 515<bookmark_value>WEIBULL function</bookmark_value> 516</bookmark> 517<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_WEIBULL" id="bm_id3150405" localize="false"/> 518<paragraph xml-lang="en-US" id="hd_id3150941" role="heading" level="2" l10n="U" 519oldref="175">WEIBULL</paragraph> 520<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> 521<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> 522<paragraph xml-lang="en-US" id="par_id0305200911372777" role="paragraph" l10n="NEW">If C is 0, WEIBULL calculates the probability density function.</paragraph> 523<paragraph xml-lang="en-US" id="par_id0305200911372743" role="paragraph" l10n="NEW">If C is 1, WEIBULL calculates the cumulative distribution function.</paragraph> 524<paragraph xml-lang="en-US" id="hd_id3159393" role="heading" level="3" l10n="U" 525oldref="177">Syntax</paragraph> 526<paragraph xml-lang="en-US" id="par_id3154478" role="code" l10n="U" oldref="178">WEIBULL(Number; Alpha; Beta; C)</paragraph> 527<paragraph xml-lang="en-US" id="par_id3151317" role="paragraph" l10n="U" oldref="179"> 528<emph>Number</emph> is the value at which to calculate the Weibull distribution.</paragraph> 529<paragraph xml-lang="en-US" id="par_id3158436" role="paragraph" l10n="U" oldref="180"> 530<emph>Alpha</emph> is the shape parameter of the Weibull distribution.</paragraph> 531<paragraph xml-lang="en-US" id="par_id3154668" role="paragraph" l10n="U" oldref="181"> 532<emph>Beta</emph> is the scale parameter of the Weibull distribution.</paragraph> 533<paragraph xml-lang="en-US" id="par_id3154825" role="paragraph" l10n="CHG" oldref="182"> 534<emph>C</emph> indicates the type of function.</paragraph> 535<paragraph xml-lang="en-US" id="hd_id3153794" role="heading" level="3" l10n="U" 536oldref="183">Example</paragraph> 537<paragraph xml-lang="en-US" id="par_id3146077" role="paragraph" l10n="U" oldref="184"> 538<item type="input">=WEIBULL(2;1;1;1)</item> returns 0.86.</paragraph> 539<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> 540</section> 541</sort> 542<section id="relatedtopics"> 543<embed href="text/scalc/01/04060100.xhp#drking"/> 544</section> 545</body> 546</helpdocument> 547