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Probability Distribution Functions and Inverses
This section contains the following topics:
*Discrete Random Variables: Distribution and Probability Functions
*BINOMIALCDF Function—Binomial distribution function.
*BINOMIALPDF Function—Binomial probability function.
*HYPERGEOCDF Function—Hypergeometric distribution function.
*HYPERGEOPDF Function—Evaluates the hypergeometric probability function.
*POISSONCDF Function—Poisson distribution function.
*POISSONPDF Function—Evaluates the probability function of a Poisson random variable with parameter theta.
*Continuous Random Variables
*BETACDF Function—Beta distribution function.
*BINORMALCDF Function—Bivariate normal distribution.
*CHISQCDF Function—Chi-squared distribution function.
*NON_CENTRAL_CHI_SQ_PDF Function—Evaluates the noncentral chi-squared probability density function.
*FCDF FunctionF distribution function.
*COMPLEMENTARY_F_CDF Function—Evaluates the complement of the F distribution function.
*NON_CENTRAL_F_PDF Function—Evaluates the noncentral F probability density function (PDF).
*NON_CENTRAL_F_CDF Function—Evaluates the noncentral F cumulative distribution function (CDF).
*GAMMACDF Function—Gamma distribution function.
*NORMALCDF Function—Normal (Gaussian) distribution function.
*MULTIVARIATE_NORMAL_CDF Function—Evaluates the cumulative distribution function for the multivariate normal distribution.
*TCDF Function—Student’s t distribution function.
*COMPLEMENTARY_T_CDF Function—Evaluates the complement of the Student’s t distribution.