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.