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# Statistiskās funkcijas 3. daļa

## CONFIDENCE

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

### Sintakse

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.

### Piemērs

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

## CONFIDENCE.NORM

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

### Sintakse

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.

### Piemērs

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

## CONFIDENCE.T

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

### Sintakse

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.

### Piemērs

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

## CORREL

Returns the correlation coefficient between two data sets.

### Sintakse

CORREL(Dati1; Dati2)

Dati1 ir pirmā datu kopa.

Dati2 ir otrā datu kopa.

### Piemērs

=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.

### Sintakse

COVAR(Dati1; Dati2)

Dati1 ir pirmā datu kopa.

Dati2 ir otrā datu kopa.

### Piemērs

=COVAR(A1:A30;B1:B30)

## COVARIANCE.P

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

### Sintakse

COVARIANCE.P(Dati1; Dati2)

Dati1 ir pirmā datu kopa.

Dati2 ir otrā datu kopa.

### Piemērs

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

## COVARIANCE.S

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

### Sintakse

COVARIANCE.S(Dati1; Dati2)

Dati1 ir pirmā datu kopa.

Dati2 ir otrā datu kopa.

### Piemērs

=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.

### Sintakse

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.

### Piemērs

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

## KURT

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

### Sintakse

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

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

### Piemērs

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

## LARGE

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

### Sintakse

LARGE(Data; RankC)

Data is the cell range of data.

RankC is the ranking of the value.

### Piemērs

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

## LOGINV

Returns the inverse of the lognormal distribution.

### Sintakse

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.

### Piemērs

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

## LOGNORM.DIST

Returns the values of a lognormal distribution.

### Sintakse

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.

### Piemērs

=LOGNORM.DIST(0.1;0;1;1) atgriež 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.

### Sintakse

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.

### Piemērs

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

## LOGNORMDIST

Returns the values of a lognormal distribution.

### Sintakse

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.

### Piemērs

=LOGNORMDIST(0.1;0;1) atgriež 0.01.

## SMALL

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

### Sintakse

SMALL(Data; RankC)

Data is the cell range of data.

RankC is the rank of the value.

### Piemērs

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

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