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Statistical analysis software add in for Microsoft Excel
Statistics Discrete Prob Distributions Hypo testing Correlation Regression
Statistics Discrete Prob Distributions Hypo testing Correlation Regression
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Analyse-It for Excel: General Statistics brings statistical analysis to Microsoft Excel 95, 97, 2000 and XP, with 14 parametric and 17 nonparametric procedures for descriptive statistics, testing normality, comparing groups, correlation, and regressi
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Offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression
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Offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression
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EJB Suite offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression
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'Test Early, Test Often, Test Right'. This is an all-in-one suite of testing tools you need to execute consistent pre-deployment unit, performance, regression, and system testing and the post-deployment monitoring of all of your web applications. T..
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Offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression for your Delphi Applications.
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iMacros relieves the repetition of checking on the same sites every day, remembering passwords and filling out web forms or web scraping. Web professional can use the software for functional testing and regression web testing of web applications.
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vTest is an automated functional and regression testing tool for web applications. It incorporates record, verify, playback and reporting capabilities.
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XlStat-Pro is a complete set of data-analysis and statistical functions for Microsoft Excel. It comes as a Microsoft Excel add-in that enhances the analytical capabilities of Excel. XlStat-Pro includes more than 50 functions covering data and stati..
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The Multiple Regression Forecasting model provides a solid basis for identifying value drivers and forecasting data. While it utilises a range of commonly employed statistical measures to test the validity of the analysis, results are summarized i..
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