# Statistical Functions Part Three

## CONFIDENCE

Returns the (1-alpha) confidence interval for a normal distribution.

### වාග් රීතිය

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.

### උදාහරණය

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

## CONFIDENCE.NORM

Returns the (1-alpha) confidence interval for a normal distribution.

### වාග් රීතිය

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.

### උදාහරණය

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

## CONFIDENCE.T

Returns the (1-alpha) confidence interval for a Student's t distribution.

### වාග් රීතිය

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.

### උදාහරණය

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

## CORREL

Returns the correlation coefficient between two data sets.

### වාග් රීතිය

CORREL(Data1; Data2)

Data1 is the first data set.

Data2 is the second data set.

### උදාහරණය

=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.

### වාග් රීතිය

COVAR(Data1; Data2)

Data1 is the first data set.

Data2 is the second data set.

### උදාහරණය

=COVAR(A1:A30;B1:B30)

## COVARIANCE.P

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

### වාග් රීතිය

COVARIANCE.P(Data1; Data2)

Data1 is the first data set.

Data2 is the second data set.

### උදාහරණය

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

## COVARIANCE.S

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

### වාග් රීතිය

COVARIANCE.S(Data1; Data2)

Data1 is the first data set.

Data2 is the second data set.

### උදාහරණය

=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.

### වාග් රීතිය

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.

### උදාහරණය

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

## KURT

Returns the kurtosis of a data set (at least 4 values required).

### වාග් රීතිය

KURT(Number1; Number2; ...; Number30)

Number1, Number2, ..., Number30 are numeric arguments or ranges representing a random sample of distribution.

### උදාහරණය

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

## LARGE

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

### වාග් රීතිය

LARGE(Data; RankC)

Data is the cell range of data.

RankC is the ranking of the value.

### උදාහරණය

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

## LOGINV

Returns the inverse of the lognormal distribution.

### වාග් රීතිය

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.

### උදාහරණය

=SIGN(3.4) returns 1.

## LOGNORM.DIST

Returns the values of a lognormal distribution.

### වාග් රීතිය

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.

### උදාහරණය

=SIGN(3.4) returns 1.

## LOGNORM.INV

Returns the inverse of the lognormal distribution.

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

### වාග් රීතිය

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.

### උදාහරණය

=SIGN(3.4) returns 1.

## LOGNORMDIST

Returns the values of a lognormal distribution.

### වාග් රීතිය

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.

### උදාහරණය

=SIGN(3.4) returns 1.

## SMALL

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

### වාග් රීතිය

SMALL(Data; RankC)

Data is the cell range of data.

RankC is the rank of the value.

### උදාහරණය

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