Best probability software for free download

Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications.
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Use this unique probability distribution calculation toolbox featuring 11 continuous and 4 discrete functions to plot graph and find values for probability density, cumulative distribution (CDF), survival and Hazard functions. Download for FREE!
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Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications.
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View graphs and related properties of more than 40 probability distributions, calculate statistical moments, quantiles, and probabilities depending on the distribution parameters.
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Random Number Generator will let you quickly generate thousands random numbers in seconds! You can choose from a wide array of options: integers vs. floating-point numbers, lower & upper limits, decimal places count, digits to use, negative numbers probability, hexadecimal & binary outputs, and much more! Screen, Clipboard, Text, CSV, XML, HTML, and XLS output formats are supported. It features rich editing capabilities with clipboard support, undo/redo, sorting. Printing is fully supported. Statistics module is available to help you judge the randomness of the generated numbers.
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Offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression.

Statistics Module
The Statistics module incorporates evaluation procedures of standard quantitative measures of centrality (mean) and dispersion of (discrete) numerical sets. This module incorporates weighted averages, geometric mean, Inter-Quartile range, mean and standard deviation, sample variance and the coefficient of variation.

Discrete Probability Module
The Discrete Probability module encapsulates the foundations of discrete probability and discrete probability distributions. This component includes the addition law, conditional probability, cumulative distribution function, mean and variance of a distribution, expected values, covariance and simplification of expressions involving random variables.

Correlation and Regression Module
Allows the user to investigate relationships between two variables. These finding can be used to predict one variable from the given values of other variables. We cover linear (Spearman's, t-test, z-transform) and rank (Spearman's, Kendall's) correlation, linear regression and conditional means.

Standard Probability 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 generate numbers from a given distribution.

Confidence Intervals and Hypothesis Testing Module
Within this component we present two aspects of inferential statistics known as confidence intervals and hypothesis testing.
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EasyFit allows to easily and quickly select the probability distribution which best fits to data, reducing your analysis times by 70-95% over manual methods. It includes numerous features designed to save you time, prevent analysis errors, and help you make better decisions.

An integrated environment provided by EasyFit includes data management, analysis, and reporting capabilities ensuring the high quality of your projects. It is very easy to learn and use - requires only a basic knowledge of statistics, so you can master it in a day or two.

The key feature of EasyFit is the ability to automatically fit over 40 distributions to sample data. Advanced users can also apply the flexible manual fitting capability. After the distributions are fitted, they are ranked accordingly to the goodness of fit tests (Kolmogorov-Smirnov, Anderson-Darling, Chi-Squared) allowing you to select the best model.

A variety of high-quality graphs (probability density, cumulative probability, survival, hazard, P-P plot etc.) can be used to visually compare the fitted distributions and make sure you have chosen the most valid one. Finally, you can apply the integrated StatAssist tool to get a comprehensive information (moments, quantiles, probabilities) on the selected distribution.

Additional features include hypertext reports, random number generator, and visual distribution gallery.

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, 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.
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