Statistical Functions Part Three
\<bookmark_value\>CONFIDENCE function\</bookmark_value\>CONFIDENCE
Returns the (1-alpha) confidence interval for a normal distribution.
CONFIDENCE(Alpha; STDEV; Size)
\<emph\>Alpha\</emph\> is the level of the confidence interval.
\<emph\>STDEV\</emph\> is the standard deviation for the total population.
\<emph\>Size\</emph\> is the size of the total population.
=CONFIDENCE(0.05; 1.5; 100) gives 0.29.
\<bookmark_value\>CONFIDENCE function\</bookmark_value\>CONFIDENCE
Returns the (1-alpha) confidence interval for a Student's t distribution.
CONFIDENCE(Alpha; STDEV; Size)
\<emph\>Alpha\</emph\> is the level of the confidence interval.
\<emph\>STDEV\</emph\> is the standard deviation for the total population.
\<emph\>Size\</emph\> is the size of the total population.
=CONFIDENCE(0.05; 1.5; 100) gives 0.29.
\<bookmark_value\>CONFIDENCE function\</bookmark_value\>CONFIDENCE.NORM
Returns the (1-alpha) confidence interval for a normal distribution.
CONFIDENCE(Alpha; STDEV; Size)
\<emph\>Alpha\</emph\> is the level of the confidence interval.
\<emph\>STDEV\</emph\> is the standard deviation for the total population.
\<emph\>Size\</emph\> is the size of the total population.
=CONFIDENCE(0.05; 1.5; 100) gives 0.29.
\<bookmark_value\>CORREL function\</bookmark_value\>\<bookmark_value\>coefficient of correlation\</bookmark_value\>CORREL
Returns the correlation coefficient between two data sets.
CORREL(Data_1; Data_2)
\<emph\>Data_1\</emph\> is the first data set.
\<emph\>Data_2\</emph\> is the second data set.
=CORREL(A1:A50; B1:B50) calculates the correlation coefficient as a measure of the linear correlation of the two data sets.
\<bookmark_value\>COVAR function\</bookmark_value\>COVAR
Returns the covariance of the product of paired deviations.
COVAR(Data_1; Data_2)
\<emph\>Data_1\</emph\> is the first data set.
\<emph\>Data_2\</emph\> is the second data set.
=COVAR(A1:A30; B1:B30)
\<bookmark_value\>COVAR function\</bookmark_value\>COVARIANCE.P
Returns the covariance of the product of paired deviations, for the entire population.
COVARIANCE.P(Data1; Data2)
\<emph\>Data_1\</emph\> is the first data set.
\<emph\>Data_2\</emph\> is the second data set.
=COVAR(A1:A30; B1:B30)
\<bookmark_value\>COVAR function\</bookmark_value\>COVARIANCE.S
Returns the covariance of the product of paired deviations, for a sample of the population.
COVARIANCE.S(Data1; Data2)
\<emph\>Data_1\</emph\> is the first data set.
\<emph\>Data_2\</emph\> is the second data set.
=COVAR(A1:A30; B1:B30)
\<bookmark_value\>CRITBINOM function\</bookmark_value\>CRITBINOM
Returns the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value.
CRITBINOM(Trials; SP; Alpha)
\<emph\>Trials\</emph\> is the total number of trials.
\<emph\>SP\</emph\> is the probability of success for one trial.
\<emph\>Alpha\</emph\> is the threshold probability to be reached or exceeded.
=CRITBINOM(100; 0.5; 0.1) yields 44.
\<bookmark_value\>KURT function\</bookmark_value\>KURT
Returns the kurtosis of a data set (at least 4 values required).
KURT(Number1; Number2; ...; Number30)
Number1, Number2, ..., Number30 are numeric arguments or ranges representing a random sample of distribution.
=KURT(A1;A2;A3;A4;A5;A6)
\<bookmark_value\>LOGINV function\</bookmark_value\>\<bookmark_value\>inverse of lognormal distribution\</bookmark_value\>LOGINV
Returns the inverse of the lognormal distribution.
LOGINV(Number; Mean; STDEV)
\<emph\>Number\</emph\> is the probability value for which the inverse standard logarithmic distribution is to be calculated.
\<emph\>Mean\</emph\> is the arithmetic mean of the standard logarithmic distribution.
\<emph\>STDEV\</emph\> is the standard deviation of the standard logarithmic distribution.
=LOGINV(0.05; 0; 1) returns 0.19.
\<bookmark_value\>LOGINV function\</bookmark_value\>\<bookmark_value\>inverse of lognormal distribution\</bookmark_value\>LOGNORMDIST
Returns the inverse of the lognormal distribution.
This function is identical to LOGINV and was introduced for interoperability with other office suites.
NORMINV(Number; Mean; STDEV)
\<emph\>Number\</emph\> is the probability value for which the inverse standard logarithmic distribution is to be calculated.
\<emph\>Mean\</emph\> is the arithmetic mean of the standard logarithmic distribution.
\<emph\>STDEV\</emph\> is the standard deviation of the standard logarithmic distribution.
=LOGINV(0.05; 0; 1) returns 0.19.
\<bookmark_value\>NEGBINOMDIST function\</bookmark_value\>\<bookmark_value\>negative binomial distribution\</bookmark_value\>LOGNORMDIST
Returns the values of a lognormal distribution.
LOGNORMDIST(Number; Mean; STDEV)
\<emph\>Number\</emph\> is the probability value for which the standard logarithmic distribution is to be calculated.
\<emph\>Mean\</emph\> is the mean value of the standard logarithmic distribution.
\<emph\>STDEV\</emph\> is the standard deviation of the standard logarithmic distribution.
\<emph\>C\</emph\> = 0 calculates the density function \<emph\>C\</emph\> = 1 the distribution.
=LOGNORMDIST(0.1; 0; 1) returns 0.01.
\<bookmark_value\>NEGBINOMDIST function\</bookmark_value\>\<bookmark_value\>negative binomial distribution\</bookmark_value\>LOGNORMDIST
Returns the values of a lognormal distribution.
LOGNORMDIST(Number; Mean; STDEV)
\<emph\>Number\</emph\> is the probability value for which the standard logarithmic distribution is to be calculated.
\<emph\>Mean\</emph\> is the mean value of the standard logarithmic distribution.
\<emph\>STDEV\</emph\> is the standard deviation of the standard logarithmic distribution.
\<emph\>C\</emph\> = 0 calculates the density function \<emph\>C\</emph\> = 1 the distribution.
=LOGNORMDIST(0.1; 0; 1) returns 0.01.
\<bookmark_value\>LARGE function\</bookmark_value\>LARGE
Returns the Rank_c-th largest value in a data set.
This function is part of the Open Document Format for Office Applications (OpenDocument) standard Version 1.2. (ISO/IEC 26300:2-2015)
LARGE(Data; Rank_c)
\<emph\>Data\</emph\> is the cell range of data.
RankC is the ranking of the value. If RankC is an array, the function becomes an array function.
=LARGE(A1:C50;2) gives the second largest value in A1:C50.
=LARGE(A1:C50;B1:B5) entered as an array function gives an array of the c-th largest value in A1:C50 with ranks defined in B1:B5.
\<bookmark_value\>SMALL function\</bookmark_value\>SMALL
Returns the Rank_c-th smallest value in a data set.
This function is part of the Open Document Format for Office Applications (OpenDocument) standard Version 1.2. (ISO/IEC 26300:2-2015)
SMALL(Data; Rank_c)
\<emph\>Data\</emph\> is the cell range of data.
RankC is the rank of the value. If RankC is an array, the function becomes an array function.
=SMALL(A1:C50;2) gives the second smallest value in A1:C50.
=SMALL(A1:C50;B1:B5) entered as an array function gives an array of the c-th smallest value in A1:C50 with ranks defined in B1:B5.