Application Guide

c
2
Pdf (c
2
Pdf())
Computes the probability density function (pdf) for the c
2
(chi-square) distribution at a
specified x value. df (degrees of freedom) must be an integer >0. The probability
density function (pdf) is:
This distribution is useful in determining the probability of the occurrence of a given
value from a population with a c
2
distribution. The draw option is available when c
2
Pdf is invoked from a formula cell.
c
2
Cdf (c
2
Cdf())
Computes the c
2
(chi-square) distribution probability between lowBound and upBound
for the specified df (degrees of freedom). You can click the Draw Shade area check box
to shade the area between the lower and upper bounds. Changes to the initial
lowBound and upBound automatically update the distribution.
This distribution is useful in determining the probability of the occurrence of value
within given boundaries of a population with a c
2
distribution.
FPdf (FPdf())
Computes the probability density function (pdf) for the F distribution at a specified x
value. numerator df (degrees of freedom) and denominator df must be integers >0.
The probability density function (pdf) is:
where n = numerator degrees of freedom
d = denominator degrees of freedom
This distribution is useful in determining the probability that two samples have the
same variance. The draw option is available when F Pdf is invoked from a formula
cell.
F Cdf (FCdf())
Computes the F distribution probability between lowBound and upBound for the
specified dfnumer (degrees of freedom) and dfDenom. You can click the Draw (Shade
area) check box to shade the area between the lower and upper bounds. Changes to
the initial lowBound and upBound automatically update the distribution.
Lists&Spreadsheet Application 333