Data Analysis Tookpak Excel For Mac 2011

In the Manage box, from the drop down menu choose excel adds in and click.You get menus of excel analysis tool pak and others. Select the needed ones. Just click ok. The add-in for those data analysis tools is usually called 'Analysis ToolPak,' and it's 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.

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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.

Perform the following steps each time you plan to distribute a final electronic copy of a Word document: Open the document. Click the File tab and then click on Info so you see three panels.On the right-hand panel, you will see the file properties that show, for example, the author of the file. You can use the Document Inspector to find and remove hidden data and personal information in Word documents. It is a good idea to use the Document Inspector before you share an electronic copy of your Word document, such as in an e-mail attachment. Word for Office 365 for Mac Word 2019 for Mac Word 2016 for Mac Word for Mac 2011 More. Less Removing all of the tracked changes in your document is a two-step process: first accept or reject the changes, then delete the comments. Wait until the document is completed before you remove the personal information, particularly if you are collaborating with other users because names associated with comments and document versions will change to “Author,” making it difficult to ascertain who made changes to the document. Strip identification from word for mac document. Word Document on Mac Scrubbing metadata was simplified in the current version of Word 2016 for Mac. For instructions on how to download Office 2016, pleas review the Office 365 Article. You can remove personal information from a document by navigating to Tools > Protect Document. Clicking the 'Remove personal information from this file on.

• 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). • Moving average. • Interrupted time series analysis. • Fourier analysis.