Statistilised funktsioonid, 2. osa

F.DIST

Calculates the values of the left tail of the F distribution.

tip

See funktsioon on saadaval alates LibreOffice'i versioonist 4.2


Süntaks

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.

Näide

=F.DIST(0.8;8;12;0) yields 0.7095282499.

=F.DIST(0.8;8;12;1) yields 0.3856603563.

F.DIST.RT

Calculates the values of the right tail of the F distribution.

tip

See funktsioon on saadaval alates LibreOffice'i versioonist 4.2


Süntaks

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.

Näide

=F.DIST.RT(0.8;8;12) yields 0.6143396437.

F.INV

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.

tip

See funktsioon on saadaval alates LibreOffice'i versioonist 4.2


Süntaks

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.

Näide

=F.INV(0.5;5;10) yields 0.9319331609.

F.INV.RT

Returns the inverse right tail of the F distribution.

tip

See funktsioon on saadaval alates LibreOffice'i versioonist 4.2


Süntaks

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.

Näide

=F.INV.RT(0.5;5;10) yields 0.9319331609.

F.TEST

Tagastab F-testi tulemuse.

tip

See funktsioon on saadaval alates LibreOffice'i versioonist 4.2


Süntaks

F.TEST(Data1; Data2)

Data1 is the first record array.

Data2 is the second record array.

Näide

=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

Arvutab F-jaotuse väärtused.

Süntaks

FDIST(arv; vabadusastmed1; vabadusastmed2)

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.

Näide

=FDIST(0.8;8;12) yields 0.61.

FINV

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.

Süntaks

FINV(arv; vabadusastmed1; vabadusastmed2)

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.

Näide

=FINV(0.5;5;10) yields 0.93.

FISHER

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

Süntaks

FISHER(arv)

Number is the value to be transformed.

Näide

=FISHER(0.5) yields 0.55.

FISHERINV

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

Süntaks

FISHERINV(arv)

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

Näide

=FISHERINV(0.5) yields 0.46.

FTEST

Tagastab F-testi tulemuse.

Süntaks

FTEST(Data1; Data2)

Data1 is the first record array.

Data2 is the second record array.

Näide

=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.

Süntaks

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

GAMMA.DIST

Tagastab gammajaotuse väärtused.

The inverse function is GAMMAINV or GAMMA.INV.

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

tip

See funktsioon on saadaval alates LibreOffice'i versioonist 4.3


Süntaks

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.

Näide

=GAMMA.DIST(2;1;1;1) yields 0.86.

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.

tip

See funktsioon on saadaval alates LibreOffice'i versioonist 4.3


Süntaks

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.

Näide

=GAMMA.INV(0.8;1;1) yields 1.61.

GAMMADIST

Tagastab gammajaotuse väärtused.

The inverse function is GAMMAINV.

Süntaks

GAMMADIST(arv; alfa; beeta; 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.

Näide

=GAMMADIST(2;1;1;1) yields 0.86.

GAMMAINV

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

Süntaks

GAMMAINV(arv; alfa; beeta)

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.

Näide

=GAMMAINV(0.8;1;1) yields 1.61.

GAMMALN

Tagastab gammafunktsiooni G(x) naturaallogaritmi.

Süntaks

GAMMALN(arv)

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

Näide

=GAMMALN(2) yields 0.

GAMMALN.PRECISE

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

tip

See funktsioon on saadaval alates LibreOffice'i versioonist 4.3


Süntaks

GAMMALN.PRECISE(Number)

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

Näide

=GAMMALN.PRECISE(2) yields 0.

GAUSS

Returns the standard normal cumulative distribution.

Selleks on GAUSS(x)=NORMSDIST(x)-0,5

Süntaks

GAUSS(arv)

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

Näide

=GAUSS(0,19) = 0,08

=GAUSS(0,0375) = 0,01

GEOMEAN

Tagastab valimi geomeetrilise keskmise.

Süntaks

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

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

Näide

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

HARMEAN

Tagastab andmehulga harmoonilise keskmise.

Süntaks

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

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

Näide

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

HYPGEOM.DIST

Returns the hypergeometric distribution.

tip

See funktsioon on saadaval alates LibreOffice'i versioonist 4.2


Süntaks

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.

Näide

=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

Tagastab hüpergeomeetrilise jaotuse.

Süntaks

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.

Näide

=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

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

Süntaks

TRIMMEAN(Andmed; Alfa)

Data is the array of data in the sample.

Alpha is the percentage of the marginal data that will not be taken into consideration.

Näide

=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.

tip

See funktsioon on saadaval alates LibreOffice'i versioonist 4.3


Süntaks

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.

Näide

=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.

Süntaks

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.