Statistics is a well tested element, which provides some basic statistical calculations, such as average, variance, covariance and more. In addition it provides the values of the Standard Normal Distribution and of the T Distribution.

ar model, covariance, variance, statistics, calculation, measures, activex, distribution

distribution parameters. In addition, it includes an efficient random number generator, a visual distribution gallery, and a comprehensive on-line documentation. Supported distribution properties: min, max, mode, mean, variance, standard deviation, coef. of variation, skewness, and kurtosis. Supported distributions: Bernoulli, Beta, Binomial, Cauchy (Lorentz), Chi-Squared, Discrete Uniform, Erlang, Error Function, Exponential, F Distribution, Fatigue

discrete, normal, mode, quantile, exponential, random, failure, student, survival, skewness, weibull, hazard, standard deviation

Distributions: Bernoulli, Beta, Binomial, Cauchy (Lorentz), Chi-Squared, Erlang, Error Function, Exponential, F Distribution, Fatigue Life (Birnbaum-Saunders), Frechet, Gamma, Generalized Extreme Value (GEV), Generalized Logistic, Generalized Pareto, Geometric, Gumbel, Hypergeometric, Inverse Gaussian, Johnson SB, Johnson SU, Laplace (Double Exponential), Logarithmic, Logistic, Lognormal, Negative Binomial, Normal, Pareto, Pert, Poisson, Power Function

normal, statistics, goodness, rayleigh, exponential, failure, johnson, gumbel, survival, darling, logistic, weibull, hazard

Distributions Module This module assists in the development of applications that incorporate the Binomial, Poisson, Normal, Lognormal, Pareto, Uniform, Hypergeometric and Exponential probability distributions. The probability density function, cumulative distribution function and inverse, mean, variance, Skewness and Kurtosis are implemented where appropriate and/or their approximations for each distribution. We also offer methods which randomly

testing, basic, standard, discrete, regression, linear, statistics, probability, java, hypothesis, distributions, class libraries, correlation

Distributions Module This module assists in the development of applications that incorporate the Binomial, Poisson, Normal, Lognormal, Pareto, Uniform, Hypergeometric and Exponential probability distributions. The probability density function, cumulative distribution function and inverse, mean, variance, Skewness and Kurtosis are implemented where appropriate and/or their approximations for each distribution. We also offer methods which randomly

testing, basic, standard, discrete, websphere, regression, linear, statistics, probability, java, hypothesis, distributions, weblogic

distribution. (Or if you are a spy, you can divide a file up and even semi-encrypt it for security reasons...) Using either a normal window or a wizard interface, files can be split by either the number of files that you want, the maximum file size, or you can use preset common sizes for EMailing, floppies, Zips, CDs, etc... The program can Chop and UnChop files in Wizard and normal interface, and supports file time and attributes preserving, CRC

wizard, chop, command line, security, file, sinner, assembly, split