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LibreOffice 3.4 Calc Guide - The Document Foundation Wiki

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Statistical analysis functions<br />

<strong>Calc</strong> includes over 70 statistical functions which enable the evaluation of data from simple<br />

arithmetic calculations, such as averaging, to advanced distribution and probability computations.<br />

Several other statistics-based functions are available through the Add-ins which are noted at the<br />

end of this appendix.<br />

Table 38: Statistical analysis functions<br />

Syntax Description<br />

AVEDEV(number1; number2; ...<br />

number_30)<br />

AVERAGE(number_1;<br />

number_2; ... number_30)<br />

AVERAGEA(value_1; value_2; ...<br />

value_30)<br />

Returns the average of the absolute deviations of data points<br />

from their mean. Displays the diffusion in a data set.<br />

Number_1; number_2; ... number_30 are values or ranges<br />

that represent a sample. Each number can also be replaced<br />

by a reference.<br />

Returns the average of the arguments. Number_1;<br />

number_2; ... number_30 are numerical values or ranges.<br />

Text is ignored.<br />

Returns the average of the arguments. <strong>The</strong> value of text is 0.<br />

Value_1; value_2; ... value_30 are values or ranges.<br />

B(trials; SP; T_1; T_2) Returns the probability of a sample with binomial distribution.<br />

Trials is the number of independent trials. SP is the<br />

probability of success on each trial. T_1 defines the lower limit<br />

for the number of trials. T_2 (optional) defines the upper limit<br />

for the number of trials.<br />

BETADIST(number; alpha; beta;<br />

start; end)<br />

BETAINV(number; alpha; beta;<br />

start; end)<br />

Returns the cumulative beta probability density function.<br />

Number is the value between Start and End at which to<br />

evaluate the function. Alpha is a parameter to the distribution.<br />

Beta is a parameter to the distribution. Start (optional) is the<br />

lower bound for number. End (optional) is the upper bound<br />

for number.<br />

Returns the inverse of the cumulative beta probability density<br />

function. Number is the value between Start and End at<br />

which to evaluate the function. Alpha is a parameter to the<br />

distribution. Beta is a parameter to the distribution. Start<br />

(optional) is the lower bound for number. End (optional) is<br />

the upper bound for number.<br />

BINOMDIST(X; trials; SP; C) Returns the individual term binomial distribution probability. X<br />

is the number of successes in a set of trials. Trials is the<br />

number of independent trials. SP is the probability of success<br />

on each trial. C = 0 calculates the probability of a single event<br />

and C = 1 calculates the cumulative probability.<br />

CHIDIST(number;<br />

degrees_freedom)<br />

Returns the probability value that a hypothesis will be<br />

confirmed from the indicated chi square. <strong>The</strong> probability<br />

determined by CHIDIST can also be determined by CHITEST.<br />

Number is the chi-square value of the random sample used<br />

to determine the error probability. Degrees_freedom is the<br />

degrees of freedom of the experiment.<br />

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

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