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NMath Stats 2.1.3


NMath Stats contains a data table class with functions for computing descriptive statistics, such as mean, variance, standard deviation, percentile, median, quartiles, geometric mean, harmonic mean, RMS, kurtosis, skewness, and many more; PDF, CDF, inverse CDF, and random variable moments for a variety of probability distributions, including normal (Gaussian), Poisson, chi-square, gamma, beta, Student's t, F, binomial, and negative binomial; Combinatorial functions, such as factorial, log factorial, binomial coefficient, and log binomial; Multiple linear regression; Basic hypothesis tests, such as z-test, t-test, and F-test, with calculation of p-values, critical values, and confidence intervals; One-way and two-way analysis of variance (ANOVA) and analysis of variance with repeated measures (RANOVA); Multivariate statistical analyses, including principal component analysis and hierarchical cluster analysis. If you are interested in evaluating NMath Stats, we offer a free fully-functional trial version, distributed in binary form only for a 30-day evaluation period. Purchased product includes source code, user documentation, help files and examples.

This software is a commercial software. You will be able to download and test NMath Stats during a certain period of time, then, if it does what you need, you will have to acquire the full version from NMath Stats publisher. The NMath Stats 2.1.3 free trial version contains an installer and an uninstaller, and has a size of 3142 Kilobytes.
For additional information and support request, please contact directly NMath Stats publisher.


NMath Stats Screenshot
  NMath Stats Publisher
NMath Stats Website www.centerspace.net
Supported OS:Windows Me / 2000 / NT / XP / Vista
Release Date:October 7, 2006
NMath Stats 2.1.3 License:Demo

Download nmath stats 2.1.3 - free Trial

NMath Stats 2.1.3 - .NET data table, descriptive statistics, linear regression and anova.
File size:3142 Kb
NMath Stats
Estimated download time:
Modem28.8K00:14:32
Modem56K00:07:28
Cable128K00:03:15
DSL256K00:01:38
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