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# Statistical Functions Part Two

## F.DIST

Regnar ut verdiene i en venstredels F-fordeling.

### Syntaks

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.

### Eksempel

=ELLER(A; B) gir SANN

=ELLER(A; B) gir SANN

## F.DIST.RT

Regnar ut verdiene på høyresiden i en F-fordeling.

### Syntaks

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.

### Eksempel

=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.

### Syntaks

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.

### Eksempel

=ELLER(A; B) gir SANN

## F.INV.RT

Returnerer inversverdien av høyresiden til F-fordelingen.

### Syntaks

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.

### Eksempel

=ELLER(A; B) gir SANN

## F.TEST

Gir resultatet av en F-test.

### Syntaks

F.TEST(Data1; Data2)

Sluttdato er den andre datoen

Sluttdato er den andre datoen

### Eksempel

=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.

## FDIST

Beregn verdiene i en F-fordeling.

### Syntaks

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.

### Eksempel

=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.

### Syntaks

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.

### Eksempel

=ELLER(A; B) gir SANN

## FISHER

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

### Syntaks

FISHER(Number)

Tekst er teksten som tilsvarer et romertall.

### Eksempel

=ELLER(A; B) gir SANN

## FISHERINV

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

### Syntaks

FISHERINV(Number)

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

### Eksempel

=ELLER(A; B) gir SANN

## FTEST

Gir resultatet av en F-test.

### Syntaks

FTEST(Data1; Data2)

Sluttdato er den andre datoen

Sluttdato er den andre datoen

### Eksempel

=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.

## GAMMA

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

### Syntaks

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

## GAMMA.DIST

Gir verdiene til en gammafordeling.

The inverse function is GAMMAINV or GAMMA.INV.

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

### Syntaks

GAMMA.DIST(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.

### Eksempel

=RADER(A10:B12) gir 3.

## 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.

### Syntaks

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.

### Eksempel

=ELLER(A; B) gir SANN

## GAMMADIST

Gir verdiene til en gammafordeling.

The inverse function is GAMMAINV.

### Syntaks

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.

### Eksempel

=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.

### Syntaks

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.

### Eksempel

=ELLER(A; B) gir SANN

## GAMMALN

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

### Syntaks

GAMMALN(Number)

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

### Eksempel

=RADER(A10:B12) gir 3.

## GAMMALN.PRECISE

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

### Syntaks

GAMMALN.PRECISE(Number)

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

### Eksempel

=RADER(A10:B12) gir 3.

## GAUSS

Gir standard kumulativ normalfordeling.

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

### Syntaks

ABS(Tall)

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

### Eksempel

ERPARTALL_ADD(5) gir 0.

ERPARTALL_ADD(5) gir 0.

## GEOMEAN

Gir den geometriske middelverdien til et utvalg.

### Syntaks

GEOMEAN(Number1; Number2; ...; Number30)

Number1, Number2, ..., Number30 are numeric arguments or ranges that represent a random sample.

### Eksempel

=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.

### Syntaks

HARMEAN(Number1; Number2; ...; Number30)

Number1, Number2, ..., Number30 are up to 30 values or ranges, that can be used to calculate the harmonic mean.

### Eksempel

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

## HYPGEOM.DIST

Gir den hypergeometriske fordelingen.

### Syntaks

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.

### Eksempler

=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.

## HYPGEOMDIST

Gir den hypergeometriske fordelinga.

### Syntaks

HYPGEOMDIST(X; NSample; Successes; NPopulation)

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.

### Eksempel

=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.

## TRIMMEAN

Gir gjennomsnittet av et utvalg uten å ta med marginalverdiene.

### Syntaks

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.

### Eksempel

=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.

## Z.TEST

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

### Syntaks

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.

### Eksempel

=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.

## ZTEST

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

### Syntaks

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.

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