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# Statistical Functions Part Three

## CONFIDENCE

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

### தொடரமைப்பு

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.

### எடுத்துக்காட்டு

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

## CONFIDENCE.NORM

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

### தொடரமைப்பு

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.

### எடுத்துக்காட்டு

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

## CONFIDENCE.T

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

### தொடரமைப்பு

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.

### எடுத்துக்காட்டு

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

## CORREL

Returns the correlation coefficient between two data sets.

### தொடரமைப்பு

CORREL(Data1; Data2)

Data1 is the first data set.

Data2 is the second data set.

### எடுத்துக்காட்டு

=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.

### தொடரமைப்பு

COVAR(Data1; Data2)

Data1 is the first data set.

Data2 is the second data set.

### எடுத்துக்காட்டு

=COVAR(A1:A30;B1:B30)

## COVARIANCE.P

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

### தொடரமைப்பு

COVARIANCE.P(Data1; Data2)

Data1 is the first data set.

Data2 is the second data set.

### எடுத்துக்காட்டு

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

## COVARIANCE.S

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

### தொடரமைப்பு

COVARIANCE.S(Data1; Data2)

Data1 is the first data set.

Data2 is the second data set.

### எடுத்துக்காட்டு

=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.

### தொடரமைப்பு

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.

### எடுத்துக்காட்டு

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

## KURT

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

### தொடரமைப்பு

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

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

### எடுத்துக்காட்டு

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

## LARGE

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

### தொடரமைப்பு

LARGE(Data; RankC)

Data is the cell range of data.

RankC is the ranking of the value.

### எடுத்துக்காட்டு

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

## LOGINV

Returns the inverse of the lognormal distribution.

### தொடரமைப்பு

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.

### எடுத்துக்காட்டு

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

## LOGNORM.DIST

Returns the values of a lognormal distribution.

### தொடரமைப்பு

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.

### எடுத்துக்காட்டு

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

## LOGNORM.INV

Returns the inverse of the lognormal distribution.

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

### தொடரமைப்பு

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.

### எடுத்துக்காட்டு

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

## LOGNORMDIST

Returns the values of a lognormal distribution.

### தொடரமைப்பு

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.

### எடுத்துக்காட்டு

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

## SMALL

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

### தொடரமைப்பு

SMALL(Data; RankC)

Data is the cell range of data.

RankC is the rank of the value.

### எடுத்துக்காட்டு

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

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