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Use Visual Probability to compute and graph PDF, CDF and quantile values of ten more distributions.

Data analysis and multivariate statistical analysis: Probability analysis, descriptive statistics, frequency analysis, variance analysis, regression.

View graphs and related properties of more than 40 probability distributions, calculate statistical moments, quantiles, and probabilities depending on the distribution parameters.

Probability Analysis Software for Windows that provides an easy-to-use tool for using Discrete and Continuous Distributions, handling all the Probability Combinations for you with Graphing and info. Designed for Windows - optimised for Windows XP

Fit more than 55 probability distributions to your data, select the best model, and apply the results to make business decisions. Reduce your analysis & simulation times by using EasyFit as a stand-alone application or with Microsoft Excel.

Kool Keyword Density Tool: Quickly scan the keyword density on your articles for top SEO rankings. Also instantly compare any two articles for duplicate content. Saves a ton of time!

The Duplication and Density Disclosure software not only provides the ability to scan for duplicated content between two articles but it also enables you to determine the keyword density of any word or phrase you choose.

GRKda runs on Windows Vista/XP/2000/NT/Me/9x and assist you in achieving high relevancy scores for your Web Pages in regards to the various search engines by allowing you to analyze and duplicate the Keyword Density "mix" of the top scoring pages.

Get more targeted search engine traffic with articles optimized to give you prized rankings that explode your sales. Instantly analyze your content for keyword density with a few clicks. If you regularly write articles, this is an invaluable tool.

This simple piece of software is a two edged sword as it is able to perform two very important tasks for content creation. This software will run on your desktop and enable you to compare two articles for duplicate content and keyword density.