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LibreOffice 3.4 Calc Guide - The Document Foundation Wiki

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Syntax Description<br />

FINV(number;<br />

degrees_freedom_1;<br />

degrees_freedom_2)<br />

Returns the inverse of the F probability distribution. Number<br />

is probability value for which the inverse F distribution is to be<br />

calculated. Degrees_freedom_1 is the number of degrees of<br />

freedom in the numerator of the F distribution.<br />

Degrees_freedom_2 is the number of degrees of freedom in<br />

the denominator of the F distribution.<br />

FISHER(number) Returns the Fisher transformation for the given number and<br />

creates a function close to a normal distribution.<br />

FISHERINV(number) Returns the inverse of the Fisher transformation for the given<br />

number and creates a function close to a normal distribution.<br />

FORECAST(value; data_Y;<br />

data_X)<br />

Extrapolates future values based on existing x and y values.<br />

Value is the x value, for which the y value of the linear<br />

regression is to be returned. Data_Y is the array or range of<br />

known Ys. Data_X is the array or range of known Xs. Does<br />

not work for exponential functions.<br />

FTEST(data_1; data_2) Returns the result of an F test. Data_1 is the first record array.<br />

Data_2 is the second record array.<br />

GAMMADIST(number; alpha;<br />

beta; C)<br />

Returns the values of a Gamma cumulative distribution.<br />

Number is the value for which the Gamma distribution is to<br />

be calculated. Alpha is the parameter Alpha of the Gamma<br />

distribution. Beta is the parameter Beta of the Gamma<br />

distribution. C = 0 calculates the density function, and C = 1<br />

calculates the distribution.<br />

GAMMAINV(number; alpha; beta) Returns the inverse of the Gamma cumulative distribution.<br />

This function allows you to search for variables with different<br />

distribution.<br />

Number is the probability value for which the inverse Gamma<br />

distribution is to be calculated. Alpha is the parameter Alpha<br />

of the Gamma distribution. Beta is the parameter Beta of the<br />

Gamma distribution.<br />

GAMMALN(number) Returns the natural logarithm of the Gamma function, G(x),<br />

for the given number.<br />

GAUSS(number) Returns the standard normal cumulative distribution for the<br />

given number.<br />

GEOMEAN(number_1;<br />

number_2; ... number_30)<br />

HARMEAN(number_1;<br />

number_2; ... number_30)<br />

HYPGEOMDIST(X; n_sample;<br />

successes; n_population)<br />

Returns the geometric mean of a sample. Number_1;<br />

number_2; ... number_30 are numerical arguments or<br />

ranges that represent a random sample.<br />

Returns the harmonic mean of a data set. Number_1;<br />

number_2; ... number_30 are values or ranges that can be<br />

used to calculate the harmonic mean.<br />

Returns the hypergeometric distribution. X is the number of<br />

results achieved in the random sample. N_sample is the size<br />

of the random sample. Successes is the number of possible<br />

results in the total population. N_population is the size of the<br />

total population.<br />

372 <strong>LibreOffice</strong> <strong>3.4</strong> <strong>Calc</strong> <strong>Guide</strong>

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