Statistical Functions Part Two

FINV function inverse F probability distribution mw added one entry 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.

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.

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

F.INV function Values of the inverse left tail of the F distribution mw added one entry 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.

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.

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

F.INV.RT function Values of the inverse right tail of the F distribution mw added one entry F.INV.RT Returns the inverse right tail of the F distribution.

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.

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

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

FISHER(Number) Number is the value to be transformed.

=FISHER(0.5) yields 0.55.

FISHERINV function inverse of Fisher transformation mw added one entry FISHERINV 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.

=FISHERINV(0.5) yields 0.46.

FTEST function FTEST Returns the result of an F test.

FTEST(Data1; Data2) Data1 is the first record array. Data2 is the second record array.

=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.

F.TEST function F.TEST Returns the result of an F test.

F.TEST(Data1; Data2) Data1 is the first record array. Data2 is the second record array.

=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 function FDIST Calculates the values of an F distribution.

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.

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

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

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.

=F.DIST(0.8;8;12;0) yields 0.7095282499. =F.DIST(0.8;8;12;1) yields 0.3856603563.

F.DIST.RT function F.DIST.RT Calculates the values of the right tail of the F distribution.

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.

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

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

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

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

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.

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

GAMMA.INV function 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.

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.

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

GAMMALN function natural logarithm of Gamma function mw added one entry GAMMALN 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.

=GAMMALN(2) yields 0.

GAMMALN.PRECISE function natural logarithm of Gamma function mw added one entry GAMMALN.PRECISE 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.

=GAMMALN.PRECISE(2) yields 0.

GAMMADIST function GAMMADIST Returns the values of a Gamma distribution. The inverse function is GAMMAINV.

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.

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

GAMMA.DIST function GAMMA.DIST Returns the values of a Gamma distribution. The inverse function is GAMMAINV or GAMMA.INV. This function is identical to GAMMADIST and was introduced for interoperability with other office suites.

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.

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

GAUSS function normal distribution; standard mw added one entry GAUSS Returns the standard normal cumulative distribution. It is GAUSS(x)=NORMSDIST(x)-0.5

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

=GAUSS(0.19) = 0.08 =GAUSS(0.0375) = 0.01

GEOMEAN function means;geometric mw added one entry GEOMEAN Returns the geometric mean of a sample.

GEOMEAN(Number1; Number2; ...; Number30) Number1, Number2, ..., Number30 are numeric arguments or ranges that represent a random sample.

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

TRIMMEAN function means;of data set without margin data mw added one entry TRIMMEAN Returns the mean of a data set without the Alpha percent of data at the margins.

TRIMMEAN(Data; Alpha) Data is the array of data in the sample. 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.

ZTEST function ZTEST 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.

Z.TEST function Z.TEST 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.

HARMEAN function means;harmonic mw added one entry HARMEAN Returns the harmonic mean of a data set.

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

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

HYPGEOMDIST function sampling without replacement mw added one entry HYPGEOMDIST Returns the hypergeometric distribution.

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.

=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.

HYPGEOM.DIST function sampling without replacement mw added one entry HYPGEOM.DIST Returns the hypergeometric distribution.

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.