Analyse-it for Microsoft Excel 1.62

Analyse-it for Microsoft Excel 1.62 Screenshot Analyse-It for Excel, General Statistics offers 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 regression.

Developer:   Analyse-it Software, Ltd.
      software by Analyse-it Software, Ltd. →
Price:  100.00  buy →
License:   Shareware
File size:   0K
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OS:   Windows Vista (?)
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Analyse-It for Excel, General Statistics offers 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 regression. Analyse-It loads with Excel, analyses data straight from your worksheets, and presents the results in Excel as publication-quality reports, complete with charts, that are ready to print or save.

Step-by-step tutorials are included to help you quickly get started, complete with online reference help explaining the purpose of each test, when it can be used, and what it tells you. Highlights include box-whisker plots, Shapiro Wilk, t-tests, Wilcoxon, Mann-Whitney, ANOVA with contrasts, Chi-Square, Linear regression, and many more.

Advanced features include confidence intervals for almost all statistics, 1- and 2-sided hypothesis testing, exact p-values for small sample sizes, corrections for ties, and more.

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Analyse-it for Microsoft Excel 1.62 Analyse-it for Microsoft Excel 1.62
Analyse-it Software, Ltd.

Analyse-It for Excel, General Statistics offers 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 regression.

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Analyse-It for Excel, General Statistics offers 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 regression.

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