Axuda do Collabora Office 24.04
Devolve os valores da distribución de Weibull.
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.
FDIST(0.8;8;12) é igual a 0.61
Devolve a asimetría dunha distribución.
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.
FDIST(0.8;8;12) é igual a 0.61
FDIST(0.8;8;12) é igual a 0.61
COM.MICROSOFT.F.DIST
Devolve os valores da distribución de Weibull.
The inverse function is GAMMAINV.
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.
FDIST(0.8;8;12) é igual a 0.61
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.
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.
FDIST(0.8;8;12) é igual a 0.61
COM.MICROSOFT.GAMMA.DIST
FunciónDevolve a distribución Poisson.
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.
=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.
Devolve a distribución Poisson.
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.
=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.
COM.MICROSOFT.HYPGEOM.DIST
Devolve a asimetría dunha distribución.
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.
FDIST(0.8;8;12) é igual a 0.61
COM.MICROSOFT.F.DIST.RT
Devolve a asimetría dunha distribución.
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.
FDIST(0.8;8;12) é igual a 0.61
COM.MICROSOFT.F.INV.RT
Returns the Fisher transformation for x and creates a function close to a normal distribution.
FISHER(número)
Número é o número a ser probado.
FDIST(0.8;8;12) é igual a 0.61
Returns the Gamma function value. Note that GAMMAINV is not the inverse of GAMMA, but of GAMMADIST.
GAMMA(Number)
X é o valor no cal a función será calculada.
Returns the natural logarithm of the Gamma function: G(x).
GAMMALN.PRECISE(Number)
Number is the value for which the natural logarithm of the Gamma function is to be calculated.
FDIST(0.8;8;12) é igual a 0.61
COM.MICROSOFT.GAMMALN.PRECISE
Devolve os valores da distribución de Weibull.
It is GAUSS(x)=NORMSDIST(x)-0.5
ABS(Número)
X é o valor no cal a función será calculada.
=GAUSS(0,19) = 0,08
=GAUSS(0,0375) = 0,01
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.
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.
FDIST(0.8;8;12) é igual a 0.61
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.
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.
FDIST(0.8;8;12) é igual a 0.61
COM.MICROSOFT.F.INV
Returns the inverse of the Fisher transformation for x and creates a function close to a normal distribution.
FISHERINV(número)
Number is the value that is to undergo reverse-transformation.
FDIST(0.8;8;12) é igual a 0.61
Returns the inverse of the Gamma cumulative distribution GAMMADIST. This function allows you to search for variables with different distribution.
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.
FDIST(0.8;8;12) é igual a 0.61
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.
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.
FDIST(0.8;8;12) é igual a 0.61
COM.MICROSOFT.GAMMA.INV
Returns the natural logarithm of the Gamma function: G(x).
GAMMALN(número)
Number is the value for which the natural logarithm of the Gamma function is to be calculated.
FDIST(0.8;8;12) é igual a 0.61
Devolve a media xeométrica dunha mostra.
HARMEAN(Number 1 [; Number 2 [; … [; Number 255]]])
=HARMEAN(23;46;69) = 37.64. The harmonic mean of this random sample is thus 37.64
Returns the mean of a data set without the Alpha percent of data at the margins.
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.
=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.
Devolve a media xeométrica dunha mostra.
GEOMEAN(Number 1 [; Number 2 [; … [; Number 255]]])
=GEOMEAN(23;46;69) = 41.79. The geometric mean value of this random sample is therefore 41.79.
Returns the result of an F test.
FTEST(Data1; Data2)
EndDate é a segunda data
EndDate é a segunda data
=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.
Returns the result of an F test.
F.TEST(Data1; Data2)
EndDate é a segunda data
EndDate é a segunda data
=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.
COM.MICROSOFT.F.TEST
Calcula a probabilidade de observar unha estatística z maior que unha calculada a partir dun exemplo.
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.
Calcula a probabilidade de observar unha estatística z maior que unha calculada a partir dun exemplo.
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.
=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.
COM.MICROSOFT.Z.TEST