Statistical Functions Part Three/text/scalc/01/04060183.xhpStatistical Functions Part Three
LARGE functionLARGEReturns the Rank_c-th largest value in a data set.SyntaxLARGE(Data; RankC)Data is the cell range of data.RankC is the ranking of the value.Example=LARGE(A1:C50;2) gives the second largest value in A1:C50.SMALL functionSMALLReturns the Rank_c-th smallest value in a data set.SyntaxSMALL(Data; RankC)Data is the cell range of data.RankC is the rank of the value.Example=SMALL(A1:C50;2) gives the second smallest value in A1:C50.CONFIDENCE functionCONFIDENCEReturns the (1-alpha) confidence interval for a normal distribution.SyntaxCONFIDENCE(Alpha; StDev; Size)Alpha is the level of the confidence interval.StDev is the standard deviation for the total population.Size is the size of the total population.Example=CONFIDENCE(0.05;1.5;100) gives 0.29.CORREL functioncoefficient of correlationmw added one entryCORRELReturns the correlation coefficient between two data sets.SyntaxCORREL(Data1; Data2)Data1 is the first data set.Data2 is the second data set.Example=CORREL(A1:A50;B1:B50) calculates the correlation coefficient as a measure of the linear correlation of the two data sets.COVAR functionCOVARReturns the covariance of the product of paired deviations.SyntaxCOVAR(Data1; Data2)Data1 is the first data set.Data2 is the second data set.Example=COVAR(A1:A30;B1:B30)CRITBINOM functionCRITBINOMReturns the smallest value for which the cumulative binomial distribution is less than or equal to a criterion value.SyntaxCRITBINOM(Trials; SP; Alpha)Trials is the total number of trials.SP is the probability of success for one trial.Alpha is the threshold probability to be reached or exceeded.Example=CRITBINOM(100;0.5;0.1) yields 44.KURT functionKURTReturns the kurtosis of a data set (at least 4 values required).SyntaxKURT(Number1; Number2; ...Number30)Number1,Number2,...Number30 are numeric arguments or ranges representing a random sample of distribution.Example=KURT(A1;A2;A3;A4;A5;A6)LOGINV functioninverse of lognormal distributionmw added one entryLOGINVReturns the inverse of the lognormal distribution.SyntaxLOGINV(Number; Mean; StDev)Number is the probability value for which the inverse standard logarithmic distribution is to be calculated.Mean is the arithmetic mean of the standard logarithmic distribution.StDev is the standard deviation of the standard logarithmic distribution.Example=LOGINV(0.05;0;1) returns 0.19.LOGNORMDIST functioncumulative lognormal distributionmw added one entryLOGNORMDISTReturns the cumulative lognormal distribution.SyntaxLOGNORMDIST(Number; Mean; StDev; Cumulative)Number is the probability value for which the standard logarithmic distribution is to be calculated.Mean (optional) is the mean value of the standard logarithmic distribution.StDev (optional) is the standard deviation of the standard logarithmic distribution.Cumulative (optional) = 0 calculates the density function, Cumulative = 1 calculates the distribution.Example=LOGNORMDIST(0.1;0;1) returns 0.01.