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342 Lists&Spreadsheet Application
tCdf (tCdf)
Computes the Student-t distribution probability between LowerBound and
UpperBound for the specified df (degrees of freedom). You can click the Draw
(Shade area) check box to shade the area between the bounds. Changes to
the initial LowerBound and UpperBound automatically update the
distribution.
This distribution is useful in determining the probability of the occurrence of a
value within an interval defined by the lower and upper bound for a normally
distributed population when the population standard deviation is not known.
Inverset (invt)
Computes the inverse cumulative t-distribution probability function specified by
Degrees of Freedom, df, for a given area under the curve.
This distribution is useful in determining the probability of an occurrence of
data in the area from 0 to x<1. This function is used when the population mean
and/or population standard deviation is not known.
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.