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StatAssist
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StatAssist

$ 49.00 Shareware 1.6 MB MathWave Technologies

Description of StatAssist 2.0:
StatAssist displays graphs and related properties of more than 40 probability distributions. This application will save you time and prevent calculation errors if your work or study involves the use of continuous or discrete distributions. It allows to quickly select a distribution of interest, specify parameter values, and view the graphs - probability density (PDF), cumulative probability (CDF), survival, hazard, and cumulative hazard. You can easily export the results to various formats, or print them.

With StatAssist, you don't need complex statistical tables - it calculates moments, quantiles, and tail probabilities as you modify 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 Life (Birnbaum-Saunders), Frechet, Gamma, Generalized Extreme Value (GEV), Generalized Logistic, Generalized Pareto, Geometric, Gumbel Max, Gumbel Min, Hypergeometric, Inverse Gaussian, Johnson SB, Johnson SU, Laplace (Double Exponential), Logarithmic, Logistic, Lognormal, Negative Binomial, Normal, Pareto, Pert, Phased Bi-Exponential, Phased Bi-Weibull, Poisson, Power Function, Rayleigh, Student's t, Triangular, Uniform, Wakeby, Weibull.

Supported OS: Windows 98, Windows Me, Windows NT, Windows 2000, Windows XP, Windows 2003, Mac PowerPC

System Req: 32 MB of RAM

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Popular terms of download StatAssist:
Beta, Binomial, Cdf, Chi, Continuous, Cumulative, Density, Discrete, Distribution, Exponential, F, Failure, Gamma, Geometric, Hazard, Kurtosis, Lognormal, Mean, Mode, Normal, Pdf, Poisson, Probability, Quantile, Skewness, Standard Deviation, Student, Survival, Variance, Weibull
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