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Vypočíta hodnoty pravej strany rozdelenia F.
F.DIST.RT(Number; DegreesFreedom1; DegreesFreedom2)
Číslo je hodnota pravdepodobnosti, pre ktorú chcete spočítať štandardné logaritmické rozdelenie.
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.
=LOGINV(0.05;0;1) vracia 0.19.
COM.MICROSOFT.F.DIST.RT
Vráti pravú inverznú stranu rozdelenia F.
F.INV.RT(Number; DegreesFreedom1; DegreesFreedom2)
Číslo je hodnota pravdepodobnosti, pre ktorú chcete spočítať štandardné logaritmické rozdelenie.
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.
=LOGINV(0.05;0;1) vracia 0.19.
COM.MICROSOFT.F.INV.RT
Vypočíta hodnoty rozdelenia F.
FDIST(Number; DegreesFreedom1; DegreesFreedom2)
Číslo je hodnota pravdepodobnosti, pre ktorú chcete spočítať štandardné logaritmické rozdelenie.
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.
=LOGINV(0.05;0;1) vracia 0.19.
Vypočíta hodnoty ľavej strany rozdelenia F.
F.DIST(Number; DegreesFreedom1; DegreesFreedom2 [; Cumulative])
Číslo je hodnota pravdepodobnosti, pre ktorú chcete spočítať štandardné logaritmické rozdelenie.
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.
=LOGINV(0.05;0;1) vracia 0.19.
=LOGINV(0.05;0;1) vracia 0.19.
COM.MICROSOFT.F.DIST
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)
Číslo je hodnota pravdepodobnosti, pre ktorú chcete spočítať štandardné logaritmické rozdelenie.
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.
=LOGINV(0.05;0;1) vracia 0.19.
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)
Číslo je hodnota pravdepodobnosti, pre ktorú chcete spočítať štandardné logaritmické rozdelenie.
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.
=LOGINV(0.05;0;1) vracia 0.19.
COM.MICROSOFT.F.INV
Returns the Fisher transformation for x and creates a function close to a normal distribution.
FISHER(Number)
Číslo je číslo, ktoré bude testované.
=LOGINV(0.05;0;1) vracia 0.19.
Returns the inverse of the Fisher transformation for x and creates a function close to a normal distribution.
FISHERINV(Number)
Number is the value that is to undergo reverse-transformation.
=LOGINV(0.05;0;1) vracia 0.19.
Returns the result of an F test.
FTEST(Data1; Data2)
KoncovýDátum je druhý dátum
KoncovýDátum je druhý dátum
=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)
KoncovýDátum je druhý dátum
KoncovýDátum je druhý dátum
=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
Returns the Gamma function value. Note that GAMMAINV is not the inverse of GAMMA, but of GAMMADIST.
GAMMA(Number)
X je hodnota, ktorou bude funkcia počítaná.
Vráti hodnoty rozdelenia gama.
The inverse function is GAMMAINV.
GAMMADIST(Number; Alpha; Beta [; C])
Číslo je hodnota pravdepodobnosti, pre ktorú chcete spočítať štandardné logaritmické rozdelenie.
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.
=LOGINV(0.05;0;1) vracia 0.19.
Vráti hodnoty rozdelenia gama.
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)
Číslo je hodnota pravdepodobnosti, pre ktorú chcete spočítať štandardné logaritmické rozdelenie.
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.
=LOGINV(0.05;0;1) vracia 0.19.
COM.MICROSOFT.GAMMA.DIST
Returns the inverse of the Gamma cumulative distribution GAMMADIST. This function allows you to search for variables with different distribution.
WEIBULL(Číslo; Alfa; Beta; C)
Číslo je hodnota pravdepodobnosti, pre ktorú chcete spočítať štandardné logaritmické rozdelenie.
Alpha is the parameter Alpha of the Gamma distribution.
Beta is the parameter Beta of the Gamma distribution.
=LOGINV(0.05;0;1) vracia 0.19.
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.
WEIBULL(Číslo; Alfa; Beta; C)
Číslo je hodnota pravdepodobnosti, pre ktorú chcete spočítať štandardné logaritmické rozdelenie.
Alpha is the parameter Alpha of the Gamma distribution.
Beta is the parameter Beta of the Gamma distribution.
=LOGINV(0.05;0;1) vracia 0.19.
COM.MICROSOFT.GAMMA.INV
Returns the natural logarithm of the Gamma function: G(x).
GAMMALN(Number)
Number is the value for which the natural logarithm of the Gamma function is to be calculated.
=LOGINV(0.05;0;1) vracia 0.19.
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.
=LOGINV(0.05;0;1) vracia 0.19.
COM.MICROSOFT.GAMMALN.PRECISE
Vráti štandardné normálne kumulatívne rozdelenie.
Platí GAUSS(x)=NORMSDIST(x)-0.5
ABS(Číslo)
Číslo je hodnota pravdepodobnosti, pre ktorú chcete spočítať inverzné štandardné logaritmické rozdelenie.
=PHI(0) = 0.4
=PHI(-2.25) = 0.03
Vráti geometrický priemer vzorky.
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.
Vráti harmonický priemer množiny údajov.
HARMEAN(Number 1 [; Number 2 [; … [; Number 255]]])
=HARMEAN(23;46;69) = 37.64. The harmonic mean of this random sample is thus 37.64
Vráti hypergeometrické rozdelenie.
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.
Vráti hypergeometrické rozdelenie.
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
Returns the mean of a data set without the Alpha percent of data at the margins.
TRIMMEAN(Data; Alpha)
Data sú skúmané údaje (v poli).
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.
Calculates the probability of observing a z-statistic greater than the one computed based on a sample.
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.
Calculates the probability of observing a z-statistic greater than the one computed based on a sample.
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