If you get prompted that the Analysis ToolPak is not currently installed on your computer, click Yes to install it. After you load the Analysis ToolPak, the Data Analysis command is available in the Analysis group on the Data tab. If you have trouble see: Excel 2003: The Data Analysis add-in should appear in the Toools menu. How to Add Analysis ToolPak in Excel 2016 for Mac? To install Analysis toolpak in Excel for Mac, follow below steps. Goto tools or Insert menu. Locate Add-Ins and Click on it. You’ll be prompted to choose from available add-ins. Select Analysis Toolpak. Analysis Toolpak is added. To use it in Excel, however, you need to load it first. In the Add-Ins available box, select the check box next to Analysis Toolpak, and then click OK. Tip If Analysis Toolpak is not listed, click Browse to locate it. If you see a message that tells you the Analysis Toolpak is not currently installed on your computer, click Yes to install it.

Oct 31, 2017 Microsoft Excel 2016 is the spreadsheet application in the MS Office 2016 suite. Get help organizing and calculating data in this Excel 2016 tutorial. Please skip Tags: excel analysis toolpak mac. The Analysis Toolpak is an Excel add-in program that is available when you install Microsoft Office or Excel (See later for instructions for installing Analysis Toolpak on a Mac). To use the Toolpak in Excel, however, you need to first need to load it. Install Solver Add-in for Excel for Mac 2016. Open Excel for Mac 2016. Go to the Tools menu, select 'Add-ins'. Check 'Solver Add-in' and 'Analysis ToolPak' then click OK. Select the 'Data' tab, then select 'Solver' or 'Data Analysis'. Those are not in the Analysis ToolPak. The Data Table feature is located in the Data menu. The 'What If Analysis' tools are in the Data Tools group on the Data tab of the Ribbon. They can be accessed from the Data menu as well. As an MVP my contributions here are purely voluntary.

The Analysis ToolPak is an Excel 2010 add-in program that adds extra financial, statistical, and engineering functions to Excel’s pool of built-in functions. The tools included in the Analysis ToolPak enable you to analyze worksheet data by using ANOVA, F-Test, rank and percentile, t-Test, and Fourier analysis.

Although the Analysis ToolPak comes with Excel 2010, it doesn’t come pre-installed. Before you can use the statistical functions added by the Analysis ToolPak, you must install and load it as follows:

1Click the File tab and then click Options.

The Excel Options dialog box opens.

2Click the Add-Ins tab in the left pane.

Add Analysis Toolpak Excel

The Add-Ins tab contains a list of all the add-in programs installed on your computer.

3Select Excel Add-Ins from the Manage drop-down list (at the bottom) and click Go.

Excel opens the Add-Ins dialog box.

4Select the Analysis ToolPak check box in the Add-Ins dialog box and then click OK.

You might find some other interesting add-ins there, too.

5If an alert dialog box asking you if you want to install the add-in appears, click Yes.

Because add-ins often contain macros, and macros can open up your computer to malicious attacks, Microsoft has raised the security level surrounding add-ins.

Perhaps the most common Data Analysis tool that you’ll use in Excel is the one for calculating descriptive statistics. To see how this works, take a look at this worksheet. It summarizes sales data for a book publisher.

In column A, the worksheet shows the suggested retail price (SRP). In column B, the worksheet shows the units sold of each book through one popular bookselling outlet. You might choose to use the Descriptive Statistics tool to summarize this data set.

To calculate descriptive statistics for the data set, follow these steps:

Microsoft Excel Data Analysis 2007

1. Click the Data tab’s Data Analysis command button to tell Excel that you want to calculate descriptive statistics.

   Excel displays the Data Analysis dialog box.

2. In Data Analysis dialog box, highlight the Descriptive Statistics entry in the Analysis Tools list and then click OK.

   Excel displays the Descriptive Statistics dialog box.

3. In the Input section of the Descriptive Statistics dialog box, identify the data that you want to describe.

   • To identify the data that you want to describe statistically: Click the Input Range text box and then enter the worksheet range reference for the data. In the case of the example worksheet, the input range is $A$1:$C$38. Note that Excel wants the range address to use absolute references — hence, the dollar signs.

     To make it easier to see or select the worksheet range, click the worksheet button at the right end of the Input Range text box. When Excel hides the Descriptive Statistics dialog box, select the range that you want by dragging the mouse. Then click the worksheet button again to redisplay the Descriptive Statistics dialog box.

   • To identify whether the data is arranged in columns or rows: Select either the Columns or the Rows radio button.

   • To indicate whether the first row holds labels that describe the data: Select the Labels in First Row check box. In the case of the example worksheet, the data is arranged in columns, and the first row does hold labels, so you select the Columns radio button and the Labels in First Row check box.

4. In the Output Options area of the Descriptive Statistics dialog box, describe where and how Excel should produce the statistics.

   • To indicate where the descriptive statistics that Excel calculates should be placed: Choose from the three radio buttons here — Output Range, New Worksheet Ply, and New Workbook. Typically, you place the statistics onto a new worksheet in the existing workbook. To do this, simply select the New Worksheet Ply radio button.

   • To identify what statistical measures you want calculated: Use the Output Options check boxes. Select the Summary Statistics check box to tell Excel to calculate statistical measures such as mean, mode, and standard deviation. Select the Confidence Level for Mean check box to specify that you want a confidence level calculated for the sample mean.

     Note: If you calculate a confidence level for the sample mean, you need to enter the confidence level percentage into the text box provided. Use the Kth Largest and Kth Smallest check boxes to indicate you want to find the largest or smallest value in the data set.

     After you describe where the data is and how the statistics should be calculated, click OK. Here are the statistics that Excel calculates.

     Statistic	Description
     Mean	Shows the arithmetic mean of the sample data.
     Standard Error	Shows the standard error of the data set (a measure of the difference between the predicted value and the actual value).
     Median	Shows the middle value in the data set (the value that separates the largest half of the values from the smallest half of the values).
     Mode	Shows the most common value in the data set.
     Standard Deviation	Shows the sample standard deviation measure for the data set.
     Sample Variance	Shows the sample variance for the data set (the squared standard deviation).
     Kurtosis	Shows the kurtosis of the distribution.
     Skewness	Shows the skewness of the data set’s distribution.
     Range	Shows the difference between the largest and smallest values in the data set.
     Minimum	Shows the smallest value in the data set.
     Maximum	Shows the largest value in the data set.
     Sum	Adds all the values in the data set together to calculate the sum.
     Count	Counts the number of values in a data set.
     Largest(X)	Shows the largest X value in the data set.
     Smallest(X)	Shows the smallest X value in the data set.
     Confidence Level(X) Percentage	Shows the confidence level at a given percentage for the data set values.

Download Analysis Toolpak Excel 2013

Here is a new worksheet with the descriptive statistics calculated.

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• Only in StatPlus:mac Pro.
• Available in free LE version.

• Pro Features
  • Standalone spreadsheet with Excel (XLS and XLSX), OpenOffice/LibreOffce Calc (ODS) and text documents support.
  • 'Add-in' mode for Excel 2004, 2008, 2011, 2016 and 2019.
  • 'Add-in' mode for Apple Numbers.
  • Priority support.
  • Permanent license and free major upgrades during the maintenance period.
  • Access to Windows version.
  • Options to emulate Excel Analysis ToolPak results and migration guide for users switching from Analysis ToolPak.
• Basic Statistics
  • Detailed descriptive statistics.
  • One-sample t-test.
  • Two-sample t-test.
  • Two-sample t-test for summarized data.
  • Fisher F-test.
  • One-sample and two-sample z-tests.
  • Correlation analysis and covariance.
  • Normality tests (Jarque-Bera, Shapiro-Wilk, Shapiro-Francia, Cramer-von Mises, Anderson-Darling, Kolmogorov-Smirnov, D'Agostino's tests).
  • Cross-tabulation and Chi-square.
  • Frequency tables analysis (for discrete and continuous variables).
  • Multiple definitions for computing quantile statistics.
• Analysis of Variance (ANOVA)
  • One-way and two-way ANOVA (with and without replications).
  • Three-way analysis of variance.
  • Post-hoc comparisons - Bonferroni, Tukey-Kramer, Tukey B, Tukey HSD, Neuman-Keuls, Dunnett.
  • General Linear Models (GLM) ANOVA.
  • Within subjects ANOVA and mixed models.
• Multivariate Analysis
  • Principal component analysis (PCA).
  • Factor analysis (FA).
  • Discriminant function analysis.
  • Hierarchical Clustering and K-Means.
• 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, Fechner).
  • 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 W (coefficient of concordance).
  • Cochran's Q Test.

• Regression Analysis
  • Multivariate linear regression (residuals analysis, collinearity diagnostics, confidence and prediction bands).
  • Weighted least squares (WLS) regression.
  • Logistic regression.
  • Stepwise (forward and backward) regression.
  • Polynomial regression.
  • Curve fitting.
  • Tests for heteroscedasticity: Breusch–Pagan test (BPG), Harvey test, Glejser test, Engle's ARCH test (Lagrange multiplier) and White test.
• Time Series Analysis
  • Data processing.
  • Fourier analysis.
  • Smoothing.
  • Moving average.
  • Analysis.
  • Autocorrelation (ACF and PACF).
  • Interrupted time series analysis.
  • Unit root tests - Dickey–Fuller, Augmented Dickey–Fuller (ADF test), Phillips–Perron (PP test), Kwiatkowski–Phillips–Schmidt–Shin (KPSS test).
• Survival Analysis
  • Life tables.
  • Kaplan-Meier (log rank test, hazard ratios).
  • Cox proportional-hazards regression.
  • Probit-analysis (Finney and LPM).
    LD values (LD50/ED50 and others), cumulative coefficient calculation.
  • Receiver operating characteristic curves analysis (ROC analysis).
    AUC methods - DeLong's, Hanley and McNeil's. Report includes: AUC (with confidence intervals), curve coordinates, performance indicators - sensitivity and specificity (with confidence intervals), accuracy, positive and negative predictive values, Youden's J (Youden's index), Precision-Recall plot.
  • Comparing ROC curves.
• Data Processing
  • Sampling (random, periodic, conditional).
  • Random numbers generation.
  • Standardization.
  • Stack/unstack operations.
  • Matrix operations.
• Statistical Charts
  • Histogram
  • Scatterplot.
  • Box plot.
  • Stem-and-leaf plot.
  • Bland-Altman plot.
  • Bland-Altman plot with multiple measurements per subject.
  • Quantile-quantile Q-Q plots for different distributions.
  • Control charts - X-bar, R-chart, S-chart, IMR-chart, P-chart, C-chart, U-chart, CUSUM-chart.

Tutorials

Download Analysis Toolpak Excel 2013

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