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Data Analysis Simplified

Inexpensive and easy-to-use data analysis tools designed for Mac and Windows.Line1Orange



AcaStat
Data analysis and summary statistics package

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Analyze data using common statistical procedures.  Enter data into the data tab, import and export delimited files, copy and paste or drag and drop data directly from a spreadsheet.  AcaStat produces frequencies tables, crosstabulations, descriptive statistics, correlations, OLS and logistic regression, t-tests, nonparametric tests and more.  Format variable and value labels, set missing values, use controls, and recode variables.  Includes 16 summary statistic procedures from StatCalc.

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Clarity
Data analysis package

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A low cost option to AcaStat designed for students and others who desire a low-cost version of AcaStat. Analyze data using the same statistical procedures available in AcaStat.  Enter data into the analyze tab, import and export delimited files, copy and paste or drag and drop data directly from a spreadsheet.  Clarity produces frequencies tables, crosstabulations, descriptive statistics, correlations, OLS and logistic regression, t-tests, nonparametric tests and more.  Format variable and value labels, set missing values, use controls, and recode variables. 

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StatCalc
Summary statistics calculator


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Compare summary statistics, develop confidence intervals, and verify hand calculations. Enter or import raw data to create descriptive, correlation, and regression statistics. A Decision Tools module is included to explore price elasticity of demand, queuing theory, constant dollars, and decision tables. Temporarily increase or decrease the maximum observations from 100 to 100,000. 

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Space4$9.99


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Applied Statistics iBook
Free

Applied Statistics iBook

Strengthen your skills in interpreting statistical software output. The Applied Statistics Desktop Reference is useful for those who have completed a course in statistics and need a quick refresher or for students looking for a concise reference to support classroom instruction. Chapters present commonly used hypothesis tests and formulas, an example of how to do the calculations, and an example of how to apply hypothesis testing to output generated by statistical software. The Glossary contains over 200 definitions and provides annotated interpretations of statistical software output.    

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