# Statistical Functions Part Three

## 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.

### Examples

=CONFIDENCE(0.05;1.5;100) gives 0.29.

## 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.

### Examples

=CONFIDENCE.T(0.05;1.5;100) gives 0.2976325427.

## CONFIDENCE.NORM

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.

### Examples

=CONFIDENCE.NORM(0.05;1.5;100) gives 0.2939945977.

## CORREL

Returns the correlation coefficient between two data sets.

### Syntax

CORREL(Data_1; Data_2)

Data_1 is the first record array.

Data_2 is the second record array.

### Examples

=CORREL(A1:A50; B1:B50) calculates the correlation coefficient as a measure of the linear correlation of the two data sets.

## COVAR

Returns the covariance of the product of paired deviations.

### Syntax

COVAR(Data_1; Data_2)

Data_1 is the first record array.

Data_2 is the second record array.

### Examples

=COVAR(A1:A30;B1:B30)

## COVARIANCE.P

Returns the covariance of the product of paired deviations, for the entire population.

### Syntax

COVARIANCE.P(Data1; Data2)

Data_1 is the first record array.

Data_2 is the second record array.

### Examples

=COVARIANCE.P(A1:A30;B1:B30)

## COVARIANCE.S

Returns the covariance of the product of paired deviations, for a sample of the population.

### Syntax

COVARIANCE.S(Data1; Data2)

Data_1 is the first record array.

Data_2 is the second record array.

### Examples

=COVARIANCE.S(A1:A30;B1:B30)

## 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.

### Examples

=CRITBINOM(100;0.5;0.1) yields 44.

## 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.

### Examples

=KURT(A1;A2;A3;A4;A5;A6)

## LARGE

Returns the Rank_c-th largest value in a data set.

### Syntax

LARGE(Data; Rank_c)

Data is the cell range of data.

Rank_c is the ranking of the value.

### Examples

=LARGE(A1:C50;2) gives the second largest value in A1:C50.

## 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.

Mean is the mean value of the standard logarithmic distribution.

### Examples

=LOGINV(0.05;0;1) returns 0.1930408167.

## LOGNORMDIST

Returns the inverse of the lognormal distribution.

This function is identical to LOGINV and was introduced for interoperability with other office suites.

### Syntax

NORMINV(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.

Mean is the mean value of the standard logarithmic distribution.

### Examples

=LOGNORM.INV(0.05;0;1) returns 0.1930408167.

## LOGNORMDIST

Returns the values of a Gamma distribution.

### Syntax

LOGNORMDIST(Number; Mean; StDev; Cumulative)

Number is the probability value for which the standard logarithmic distribution is to be calculated.

Mean is the mean value of the standard logarithmic distribution.

Mean is the mean value of the standard logarithmic distribution.

C = 0 calculates the density function C = 1 the distribution.

### Examples

=LOGNORMDIST(0.1;0;1) returns 0.01.

## LOGNORMDIST

Returns the values of a Gamma distribution.

### Syntax

LOGNORM.DIST(Number; Mean; StDev; Cumulative)

Number is the probability value for which the standard logarithmic distribution is to be calculated.

Mean is the mean value of the standard logarithmic distribution.

Mean is the mean value of the standard logarithmic distribution.

C = 0 calculates the density function C = 1 the distribution.

### Examples

=LOGNORM.DIST(0.1;0;1;1) returns 0.0106510993.

## SMALL

Returns the Rank_c-th smallest value in a data set.

### Syntax

SMALL(Data; Rank_c)

Data is the cell range of data.

Rank_c is the rank of the value.

### Examples

=SMALL(A1:C50;2) gives the second smallest value in A1:C50.