Funcións financeiras Parte III

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# Statistical Functions Part Two

## DISTF

Devolve os valores da distribución de Weibull.

#### Sintaxe

FDIST(Number; DegreesFreedom1; DegreesFreedom2)

X é o valor no cal a función será calculada.

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.

#### Exemplo

FDIST(0.8;8;12) é igual a 0.61

## DISTF

Devolve a asimetría dunha distribución.

Esta función está dispoñíbel desde a versión 4.2 do LibreOffice.

#### Sintaxe

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

X é o valor no cal a función será calculada.

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.

#### Exemplo

FDIST(0.8;8;12) é igual a 0.61

FDIST(0.8;8;12) é igual a 0.61

## DISTGAMMA

Devolve os valores da distribución de Weibull.

The inverse function is GAMMAINV.

#### Sintaxe

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

X é o valor no cal a función será calculada.

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.

#### Exemplo

FDIST(0.8;8;12) é igual a 0.61

## DISTGAMMA

Devolve os valores da distribución de Weibull.

The inverse function is GAMMAINV or GAMMA.INV.

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

Esta función está dispoñíbel desde a versión 4.3 do LibreOffice.

#### Sintaxe

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

X é o valor no cal a función será calculada.

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.

#### Exemplo

FDIST(0.8;8;12) é igual a 0.61

Función

## DISTRHIPERXEOM

Devolve a distribución Poisson.

#### Sintaxe

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.

#### Exemplo

=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.

## DISTRHIPERXEOM

Devolve a distribución Poisson.

Esta función está dispoñíbel desde a versión 4.2 do LibreOffice.

#### Sintaxe

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.

#### Exemplo

=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.

## F.DIST.RT

Devolve a asimetría dunha distribución.

Esta función está dispoñíbel desde a versión 4.2 do LibreOffice.

#### Sintaxe

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

X é o valor no cal a función será calculada.

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.

#### Exemplo

FDIST(0.8;8;12) é igual a 0.61

## F.INV.RT

Devolve a asimetría dunha distribución.

Esta función está dispoñíbel desde a versión 4.2 do LibreOffice.

#### Sintaxe

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

X é o valor no cal a función será calculada.

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.

#### Exemplo

FDIST(0.8;8;12) é igual a 0.61

## FISHER

Returns the Fisher transformation for x and creates a function close to a normal distribution.

#### Sintaxe

FISHER(número)

Número é o número a ser probado.

#### Exemplo

FDIST(0.8;8;12) é igual a 0.61

## GAMMA

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

#### Sintaxe

GAMMA(Number)

X é o valor no cal a función será calculada.

## GAMMALN.PRECISE

Returns the natural logarithm of the Gamma function: G(x).

Esta función está dispoñíbel desde a versión 4.3 do LibreOffice.

#### Sintaxe

GAMMALN.PRECISE(Number)

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

#### Exemplo

FDIST(0.8;8;12) é igual a 0.61

## GAUSS

Devolve os valores da distribución de Weibull.

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

#### Sintaxe

ABS(Número)

X é o valor no cal a función será calculada.

#### Exemplo

=GAUSS(0,19) = 0,08

=GAUSS(0,0375) = 0,01

## INVF

Returns the inverse of the F probability distribution. The F distribution is used for F tests in order to set the relation between two differing data sets.

#### Sintaxe

FINV(Number; DegreesFreedom1; DegreesFreedom2)

X é o valor no cal a función será calculada.

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.

#### Exemplo

FDIST(0.8;8;12) é igual a 0.61

## INVF

Returns the inverse of the cumulative F distribution. The F distribution is used for F tests in order to set the relation between two differing data sets.

Esta función está dispoñíbel desde a versión 4.2 do LibreOffice.

#### Sintaxe

F.INV(Number; DegreesFreedom1; DegreesFreedom2)

X é o valor no cal a función será calculada.

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.

#### Exemplo

FDIST(0.8;8;12) é igual a 0.61

## INVFISHER

Returns the inverse of the Fisher transformation for x and creates a function close to a normal distribution.

#### Sintaxe

FISHERINV(número)

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

#### Exemplo

FDIST(0.8;8;12) é igual a 0.61

## INVGAMMA

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

#### Sintaxe

GAMMAINV(numero;alfa;beta)

X é o valor no cal a función será calculada.

Alpha is the parameter Alpha of the Gamma distribution.

Beta is the parameter Beta of the Gamma distribution.

#### Exemplo

FDIST(0.8;8;12) é igual a 0.61

## INVGAMMA

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.

Esta función está dispoñíbel desde a versión 4.3 do LibreOffice.

#### Sintaxe

GAMMAINV(numero;alfa;beta)

X é o valor no cal a función será calculada.

Alpha is the parameter Alpha of the Gamma distribution.

Beta is the parameter Beta of the Gamma distribution.

#### Exemplo

FDIST(0.8;8;12) é igual a 0.61

## LNGAMMA

Returns the natural logarithm of the Gamma function: G(x).

#### Sintaxe

GAMMALN(número)

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

#### Exemplo

FDIST(0.8;8;12) é igual a 0.61

## MEDIAHARMO

Devolve a media xeométrica dunha mostra.

#### Sintaxe

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.

#### Exemplo

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

## MEDIARECORTADA

Returns the mean of a data set without the Alpha percent of data at the margins.

#### Sintaxe

TRIMMEAN(Data; Alpha)

Servizos representa a matriz dos valores límite.

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.

#### Exemplo

=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.

## MEDIAXEO

Devolve a media xeométrica dunha mostra.

#### Sintaxe

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.

#### Exemplo

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

## TESTF

Returns the result of an F test.

#### Sintaxe

FTEST(Data1; Data2)

EndDate é a segunda data

EndDate é a segunda data

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.

#### Exemplo

=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.

## TESTF

Returns the result of an F test.

Esta función está dispoñíbel desde a versión 4.2 do LibreOffice.

#### Sintaxe

F.TEST(Data1; Data2)

EndDate é a segunda data

EndDate é a segunda data

#### Exemplo

=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.

## TESTZ

Calcula a probabilidade de observar unha estatística z maior que unha calculada a partir dun exemplo.

#### Sintaxe

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.

## TESTZ

Calcula a probabilidade de observar unha estatística z maior que unha calculada a partir dun exemplo.

Esta función está dispoñíbel desde a versión 4.3 do LibreOffice.

#### Sintaxe

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.

#### Exemplo

=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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