Oct 9, 2012 - I need the data analysis add-in for a class and I cant find it on the add-in list or the office icon to select options. How can I activate this tool in Excel 2011 for Mac. The add-in for those data analysis tools is usually called 'Analysis ToolPak,' and it's not available for. The Data Analysis Toolpak was removed in Mac:Office for Mac 2008. However, you can download a free third-party tool that offers similar functionality: StatPlus:mac LE.

Mac torrents downloads. StatPlus:mac LE Meet StatPlus:mac LE — a free edition of StatPlus:mac Professional developed by AnalystSoft. If you are using a Mac and Microsoft Excel 2004–2019 for Mac or Apple Numbers for daily analytical and statistical purposes, StatPlus:mac LE is exactly what you need to get started!

Get a powerful statistical tool for free – now with a set of new essential features - without leaving Excel. Try the free version now and find out why - statistically - most people stop looking for any other tools once they find StatPlus:mac! By installing this software you accept all the terms and conditions of the end user license agreement provided.

No matter if you are an experienced user migrating from a familiar toolset or a novice exploring the capabilities of the new software, StatPlus:mac LE gives you an easily configured workspace with a vast array of tools. This free application demonstrates qualities typically only available in costly specialized suites – consistency and accuracy of results, reliability, plenty of data analysis models and tools, various data types, graphs, charts and much, much more. • Pro Features • Standalone spreadsheet with Excel and OpenOffice documents support.

• 'Add-in' mode for Excel 2004, 2008, 2011, 2016 and 2019. • 'Add-in' mode for Apple Numbers v3, v4 and v5. • Priority support.

• Bug fix warranty and free major upgrades during your maintenance period. • Access to Windows version.

• Basic Statistics • Detailed descriptive statistics. • One-sample t-test. • Two-sample t-test (also includes Pagurova Criterion, G-Criterion). • Two-sample t-test for summarized data.

• Fisher F-test. • One-sample and two-sample z-tests. • Correlation coefficients (Pearson, Fechner) and covariation. • Normality tests (includes D'Agostino's tests). • Cross-tabulation and Chi-square. • Frequency tables analysis (for discrete and continuous variables). • Analysis of Variance (ANOVA) • One-way and two-way ANOVA.

• Three-way analysis of variance. • Post-hoc comparisons - Bonferroni, Tukey-Kramer, Tukey B, Tukey HSD, Neuman-Keuls. • General Linear Models (GLM) ANOVA. • Within subjects ANOVA and mixed models. • Data Classification • Discriminant function analysis.

• Nonparametric Statistics • 2x2 tables analysis (Chi-square, Yates Chi-square, Exact Fisher Test, etc.). • Rank and percentile.

• Chi-square test. • Rank correlations (Kendall Tau, Spearman R, Gamma.).

• Comparing independent samples Mann-Whitney U Test, Kolmogorov-Smirnov test, Wald-Wolfowitz Runs Test, Rosenbaum Criterion. Kruskal-Wallis ANOVA and Median test.

• Comparing dependent samples Wilcoxon Matched Pairs Test, Sign Test, Friedman ANOVA, Kendall's Coeff. Of Concordance.

• Cochran's Q Test. • Regression Analysis • Multivariate linear regression. • Weighted Least Squares Regression (WLS) regression.