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# Statistical Functions Part Two

## FDIST

Beregn verdiene i en F-fordeling.

#### Syntax

FDIST(Number; DegreesFreedom1; DegreesFreedom2)

Number is the value for which the F distribution is to be calculated.

degreesFreedom1 is the degrees of freedom in the numerator in the F distribution.

degreesFreedom2 is the degrees of freedom in the denominator in the F distribution.

#### Example

=ELLER(A; B) gir SANN

## F.DIST

Regnar ut verdiene i en venstredels F-fordeling.

Denne funksjonen har vært tilgjengelig siden LibreOffice 4.2.

#### Syntax

F.DIST(Number; DegreesFreedom1; DegreesFreedom2 [; Cumulative])

Number is the value for which the F distribution is to be calculated.

degreesFreedom1 is the degrees of freedom in the numerator in the F distribution.

degreesFreedom2 is the degrees of freedom in the denominator in the F distribution.

Cumulative = 0 or False calculates the density function Cumulative = 1 or True calculates the distribution.

#### Example

=ELLER(A; B) gir SANN

=ELLER(A; B) gir SANN

## F.DIST.RT

Regnar ut verdiene på høyresiden i en F-fordeling.

Denne funksjonen har vært tilgjengelig siden LibreOffice 4.2.

#### Syntax

F.DIST.RT(Number; DegreesFreedom1; DegreesFreedom2)

Number is the value for which the F distribution is to be calculated.

degreesFreedom1 is the degrees of freedom in the numerator in the F distribution.

degreesFreedom2 is the degrees of freedom in the denominator in the F distribution.

#### Example

=ELLER(A; B) gir SANN

## FINV

Gir inversverdien til F-sannsynlighetsfordelinga. F-fordelinga brukes til F-tester for å angi relasjonen mellom to forskjellige datasett.

#### Syntax

FINV(Number; DegreesFreedom1; DegreesFreedom2)

Number is probability value for which the inverse F distribution is to be calculated.

DegreesFreedom1 is the number of degrees of freedom in the numerator of the F distribution.

DegreesFreedom2 is the number of degrees of freedom in the denominator of the F distribution.

#### Example

=ELLER(A; B) gir SANN

## F.INV

Gir inversverdien til F-sannsynlighetsfordelinga. F-fordelinga brukes til F-tester for å angi relasjonen mellom to forskjellige datasett.

Denne funksjonen har vært tilgjengelig siden LibreOffice 4.2.

#### Syntax

F.INV(Number; DegreesFreedom1; DegreesFreedom2)

Number is probability value for which the inverse F distribution is to be calculated.

DegreesFreedom1 is the number of degrees of freedom in the numerator of the F distribution.

DegreesFreedom2 is the number of degrees of freedom in the denominator of the F distribution.

#### Example

=ELLER(A; B) gir SANN

## F.INV.RT

Returnerer inversverdien av høyresiden til F-fordelingen.

Denne funksjonen har vært tilgjengelig siden LibreOffice 4.2.

#### Syntax

F.INV.RT(Number; DegreesFreedom1; DegreesFreedom2)

Number is probability value for which the inverse F distribution is to be calculated.

DegreesFreedom1 is the number of degrees of freedom in the numerator of the F distribution.

DegreesFreedom2 is the number of degrees of freedom in the denominator of the F distribution.

#### Example

=ELLER(A; B) gir SANN

## FISHER

Gir Fisher-transformasjonen for x, og lager en funksjon som ligger nært opptil normalfordelinga.

#### Syntax

FISHER(Number)

Tekst er teksten som tilsvarer et romertall.

#### Example

=ELLER(A; B) gir SANN

## FISHERINV

Gir den inversen av Fisher-transformasjonen for x, og lager en funksjon som ligger nært opptil normalfordelinga.

#### Syntax

FISHERINV(Number)

Number is the value that is to undergo reverse-transformation.

#### Example

=ELLER(A; B) gir SANN

## FTEST

Gir resultatet av en F-test.

#### Syntax

FTEST(Data1; Data2)

Sluttdato er den andre datoen

Sluttdato er den andre datoen

This function ignores any text or empty cell within a data range. If you suspect wrong results from this function, look for text in the data ranges. To highlight text contents in a data range, use the value highlighting feature.

#### Example

=FTEST(A1:A30;B1:B12) calculates whether the two data sets are different in their variance and returns the probability that both sets could have come from the same total population.

## F.TEST

Gir resultatet av en F-test.

Denne funksjonen har vært tilgjengelig siden LibreOffice 4.2.

#### Syntax

F.TEST(Data1; Data2)

Sluttdato er den andre datoen

Sluttdato er den andre datoen

#### Example

=F.TEST(A1:A30;B1:B12) calculates whether the two data sets are different in their variance and returns the probability that both sets could have come from the same total population.

## GAMMA

Returns the Gamma function value. Note that GAMMAINV is not the inverse of GAMMA, but of GAMMADIST.

#### Syntax

GAMMA(Number)

Number is the number for which the Gamma function value is to be calculated.

## GAMMADIST

Gir verdiene til en gammafordeling.

The inverse function is GAMMAINV.

#### Syntax

GAMMADIST(Number; Alpha; Beta [; C])

Number is the value for which the Gamma distribution is to be calculated.

Alpha is the parameter Alpha of the Gamma distribution.

Beta is the parameter Beta of the Gamma distribution.

C (optional) = 0 or False calculates the density function C = 1 or True calculates the distribution.

#### Example

=RADER(A10:B12) gir 3.

## GAMMA.DIST

Gir verdiene til en gammafordeling.

The inverse function is GAMMAINV or GAMMA.INV.

This function is similar to GAMMADIST and was introduced for interoperability with other office suites.

Denne funksjonen har vært tilgjengelig siden LibreOffice 4.3.

#### Syntax

GAMMA.DIST(Number; Alpha; Beta; Cumulative)

Number is the value for which the Gamma distribution is to be calculated.

Alpha is the parameter Alpha of the Gamma distribution.

Beta is the parameter Beta of the Gamma distribution.

Cumulative = 0 or False calculates the probability density function; Cumulative = 1, True, or any other value calculates the cumulative distribution function.

#### Example

=RADER(A10:B12) gir 3.

## GAMMAINV

Returns the inverse of the Gamma cumulative distribution GAMMADIST. This function allows you to search for variables with different distribution.

#### Syntax

GAMMAINV(Number; Alpha; Beta)

Number is the probability value for which the inverse Gamma distribution is to be calculated.

Alpha is the parameter Alpha of the Gamma distribution.

Beta is the parameter Beta of the Gamma distribution.

#### Example

=ELLER(A; B) gir SANN

## GAMMA.INV

Returns the inverse of the Gamma cumulative distribution GAMMADIST. This function allows you to search for variables with different distribution.

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

Denne funksjonen har vært tilgjengelig siden LibreOffice 4.3.

#### Syntax

GAMMA.INV(Number; Alpha; Beta)

Number is the probability value for which the inverse Gamma distribution is to be calculated.

Alpha is the parameter Alpha of the Gamma distribution.

Beta is the parameter Beta of the Gamma distribution.

#### Example

=ELLER(A; B) gir SANN

## GAMMALN

Gir den naturlige logaritmen til gammafunksjonen: G(x).

#### Syntax

GAMMALN(Number)

Number is the value for which the natural logarithm of the Gamma function is to be calculated.

#### Example

=RADER(A10:B12) gir 3.

## GAMMALN.PRECISE

Gir den naturlige logaritmen til gammafunksjonen: G(x).

Denne funksjonen har vært tilgjengelig siden LibreOffice 4.3.

#### Syntax

GAMMALN.PRECISE(Number)

Number is the value for which the natural logarithm of the Gamma function is to be calculated.

#### Example

=RADER(A10:B12) gir 3.

## GAUSS

Gir standard kumulativ normalfordeling.

It is GAUSS(x)=NORMSDIST(x)-0.5

#### Syntax

ABS(Tall)

Number is the value for which the value of the standard normal distribution is to be calculated.

#### Example

ERPARTALL_ADD(5) gir 0.

ERPARTALL_ADD(5) gir 0.

## GEOMEAN

Gir den geometriske middelverdien til et utvalg.

#### Syntax

GEOMEAN(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1, Number 2, … , Number 255 are numbers, references to cells or to cell ranges of numbers.

This function ignores any text or empty cell within a data range. If you suspect wrong results from this function, look for text in the data ranges. To highlight text contents in a data range, use the value highlighting feature.

#### Example

=GEOMEAN(23;46;69) = 41.79. The geometric mean value of this random sample is therefore 41.79.

## HARMEAN

Gir det harmoniske gjennomsnittet av en datamengde.

#### Syntax

HARMEAN(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1, Number 2, … , Number 255 are numbers, references to cells or to cell ranges of numbers.

This function ignores any text or empty cell within a data range. If you suspect wrong results from this function, look for text in the data ranges. To highlight text contents in a data range, use the value highlighting feature.

#### Example

=HARMEAN(23;46;69) = 37.64. The harmonic mean of this random sample is thus 37.64

## HYPGEOMDIST

Gir den hypergeometriske fordelinga.

#### Syntax

HYPGEOMDIST(X; NSample; Successes; NPopulation [; Cumulative])

X is the number of results achieved in the random sample.

NSample is the size of the random sample.

Successes is the number of possible results in the total population.

NPopulation is the size of the total population.

Cumulative (optional) specifies whether to calculate the probability mass function (FALSE or 0) or the cumulative distribution function (any other value). The probability mass function is the default if no value is specified for this parameter.

#### Example

=HYPGEOMDIST(2;2;90;100) yields 0.81. If 90 out of 100 pieces of buttered toast fall from the table and hit the floor with the buttered side first, then if 2 pieces of buttered toast are dropped from the table, the probability is 81%, that both will strike buttered side first.

## HYPGEOM.DIST

Gir den hypergeometriske fordelingen.

Denne funksjonen har vært tilgjengelig siden LibreOffice 4.2.

#### Syntax

HYPGEOM.DIST(X; NSample; Successes; NPopulation; Cumulative)

X is the number of results achieved in the random sample.

NSample is the size of the random sample.

Successes is the number of possible results in the total population.

NPopulation is the size of the total population.

Cumulative : 0 or False calculates the probability density function. Other values or True calculates the cumulative distribution function.

#### Example

=HYPGEOM.DIST(2;2;90;100;0) yields 0.8090909091. If 90 out of 100 pieces of buttered toast fall from the table and hit the floor with the buttered side first, then if 2 pieces of buttered toast are dropped from the table, the probability is 81%, that both will strike buttered side first.

=HYPGEOM.DIST(2;2;90;100;1) yields 1.

## TRIMMEAN

Gir gjennomsnittet av et utvalg uten å ta med marginalverdiene.

#### Syntax

TRIMMEAN(Data; Alpha)

Tekst er teksten som tilsvarer et romertall.

Alpha is the percentage of the marginal data that will not be taken into consideration.

This function ignores any text or empty cell within a data range. If you suspect wrong results from this function, look for text in the data ranges. To highlight text contents in a data range, use the value highlighting feature.

#### Example

=TRIMMEAN(A1:A50; 0.1) calculates the mean value of numbers in A1:A50, without taking into consideration the 5 percent of the values representing the highest values and the 5 percent of the values representing the lowest ones. The percentage numbers refer to the amount of the untrimmed mean value, not to the number of summands.

## ZTEST

Calculates the probability of observing a z-statistic greater than the one computed based on a sample.

#### Syntax

ZTEST(Data; mu [; Sigma])

Data is the given sample, drawn from a normally distributed population.

mu is the known mean of the population.

Sigma (optional) is the known standard deviation of the population. If omitted, the standard deviation of the given sample is used.

See also the Wiki page.

This function ignores any text or empty cell within a data range. If you suspect wrong results from this function, look for text in the data ranges. To highlight text contents in a data range, use the value highlighting feature.

## Z.TEST

Calculates the probability of observing a z-statistic greater than the one computed based on a sample.

Denne funksjonen har vært tilgjengelig siden LibreOffice 4.3.

#### Syntax

Z.TEST(Data; mu [; Sigma])

Data is the given sample, drawn from a normally distributed population.

mu is the known mean of the population.

Sigma (optional) is the known standard deviation of the population. If omitted, the standard deviation of the given sample is used.

#### Example

=Z.TEST(A2:A20; 9; 2) returns the result of a z-test on a sample A2:A20 drawn from a population with known mean 9 and known standard deviation 2.

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