The Descriptive Statistics feature of data analysis tools is part of the 'Analysis ToolPak' add-in provided with Windows Excel, and it is not available for In Excel 2011 for Mac, choose Help from the topmost menu bar, type 'Analysis ToolPak' (without the quotes) into the Search box, and select. App cleaner for mac.

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How can I find the function Descriptive Statistics in Excel for Mac 2011? The Descriptive Statistics feature of data analysis tools is part of the 'Analysis ToolPak' add-in provided with Windows Excel, and it is not available for Excel 2011 for Mac. Instead, Microsoft recommends a third-party alternative. In Excel 2011 for Mac, choose Help from the topmost menu bar, type 'Analysis ToolPak' (without the quotes) into the Search box, and select the 'I can't find the Analysis ToolPak' item.

You'll be directed to download the free StatPlus:mac LE from the AnalystSoft web site After installation, in StatPlus choose Statistics > Basic Statistics and Tables > Descriptive Statistics. - Mike Middleton, www.MikeMiddleton.com.

StatPlus:mac But what if you work for a math-heavy industry, pharmacology, medicine or sociology, and complex statistical analysis is part of your daily routine? Did you find a user-friendly data analysis tool that works on your Mac? StatPlus:mac turns your copy of Microsoft Excel for Mac (2004 - 2019) or Apple Numbers into a powerful statistical tool without making you learn another software or part with extraordinary amounts of money. You'll use the familiar interface to perform complex analysis and calculations, enabling you to concentrate on analyzing the results rather than figuring out how to achieve them.

• 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. • Logistic regression. • Stepwise (forward and backward) regression. • Polynomial regression. • Cox proportional-hazards regression. • Time Series Analysis • Autocorrelation (ACF) and partial autocorrelation (PACF).

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• Probit-analysis (Finney and MLS algorithms) with cumulation coefficient estimation. Used for LD50 (ED50) calculation. • Data Processing • Sampling (random, periodic, conditional).