Statistical Functions Part Three

LARGE function LARGE Returns the Rank_c-th largest value in a data set. Syntax LARGE(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 function SMALL Returns the Rank_c-th smallest value in a data set. Syntax SMALL(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 function CONFIDENCE Returns the (1-alpha) confidence interval for a normal distribution. Syntax CONFIDENCE(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.

CONFIDENCE.T function CONFIDENCE.T Returns the (1-alpha) confidence interval for a Student's t distribution. Syntax CONFIDENCE.T(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.T(0.05;1.5;100) gives 0.2976325427.

CONFIDENCE.NORM function CONFIDENCE.NORM Returns the (1-alpha) confidence interval for a normal distribution. Syntax CONFIDENCE.NORM(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.NORM(0.05;1.5;100) gives 0.2939945977.

CORREL function coefficient of correlation mw added one entry CORREL Returns the correlation coefficient between two data sets. Syntax CORREL(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 function COVAR Returns the covariance of the product of paired deviations. Syntax COVAR(Data1; Data2) Data1 is the first data set. Data2 is the second data set. Example =COVAR(A1:A30;B1:B30)

COVARIANCE.P function COVARIANCE.P Returns the covariance of the product of paired deviations, for the entire population. Syntax COVARIANCE.P(Data1; Data2) Data1 is the first data set. Data2 is the second data set. Example =COVARIANCE.P(A1:A30;B1:B30)

COVARIANCE.S function COVARIANCE.S Returns the covariance of the product of paired deviations, for a sample of the population. Syntax COVARIANCE.S(Data1; Data2) Data1 is the first data set. Data2 is the second data set. Example =COVARIANCE.S(A1:A30;B1:B30)

CRITBINOM function CRITBINOM Returns the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value. Syntax CRITBINOM(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 function KURT Returns the kurtosis of a data set (at least 4 values required). Syntax KURT(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 function inverse of lognormal distribution mw added one entry LOGINV Returns the inverse of the lognormal distribution. Syntax LOGINV(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 0.1930408167.

LOGNORM.INV function inverse of lognormal distribution mw added one entry LOGNORM.INV Returns the inverse of the lognormal distribution. This function is identical to LOGINV and was introduced for interoperability with other office suites. Syntax LOGNORM.INV(Number; Mean; StDev) Number (required) is the probability value for which the inverse standard logarithmic distribution is to be calculated. Mean (required) is the arithmetic mean of the standard logarithmic distribution. StDev (required) is the standard deviation of the standard logarithmic distribution. Example =LOGNORM.INV(0.05;0;1) returns 0.1930408167.

LOGNORMDIST function lognormal distribution mw added one entry LOGNORMDIST Returns the values of a lognormal distribution. Syntax LOGNORMDIST(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.

LOGNORM.DIST function lognormal distribution mw added one entry LOGNORM.DIST Returns the values of a lognormal distribution. Syntax LOGNORM.DIST(Number; Mean; StDev; Cumulative) Number (required) is the probability value for which the standard logarithmic distribution is to be calculated. Mean (required) is the mean value of the standard logarithmic distribution. StDev (required) is the standard deviation of the standard logarithmic distribution. Cumulative (required) = 0 calculates the density function, Cumulative = 1 calculates the distribution. Example =LOGNORM.DIST(0.1;0;1;1) returns 0.0106510993.