Probability Data Analysis and Simulation: 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. Apply the advanced Excel integration to develop your custom solutions.

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Analysis and Inference Software for Windows covering everything from Average, Mode and Variance through to Hypothesis Analysis, Time Series and Linear Regression. Includes Online Help, Tutorials, Graphs, Summaries, Import/Export, Customisable Interface, Calculator, Live Spell Check, Install/Uninstall and much more. - Single, Dual (paired and unpaired) and Multiple Data Analysis (Multivariate analysis not in Lite Version). - Data can be either for

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Analysis - Applies the Forecast Analysis to generate a Business Valuation reflecting the potential to value add and considers the future business environment. This valuation provides strong support for business purchase, sale or financing negotiations. Outputs include up to a 10 year Forecast, Sensitivity Analysis, Investment Return, Net Present Value Analysis, and calculated Business Valuation. Breakeven Analysis - Applies current performance data

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analysis (What-if analysis) Sensitivity Analysis (or Post-Optimization Analysis) studies the manner how the most optimal target solution or function (Output), would be affected by changes in the value of one or more parameters (Input) of a model, while the rest of them remain unchanged. What-if Analysis Manager is your best partner when developing a “WHAT-IF ANALYSIS”; process involving changes in the values of input cells, to see how they would

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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

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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

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