Excel For Mac 2011 Data Analysis

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By using regression analysis, which estimates the relationship between variables, you can extend a trendline in a chart beyond the actual data to predict future values. On your chart, click the data series to which you want to add a trendline or moving average. Follow these steps to load the Analysis ToolPak in Excel 2016 for Mac: Click the Tools menu, and then click Excel Add-ins. In the Add-Ins available box, select the Analysis ToolPak check box, and then click OK. How To Use The Data Analysis Tool In Excel. In the Add-Ins available box, select the Analysis ToolPak check box, and then click OK. In Excel for Mac 2011: Click the Data tab, under Analysis, click Solver. Click Load/Save, enter a cell range for the model area, and then click either Save or Load. When you save a model, enter the reference for the first cell of a vertical range of empty cells in which you want to place the problem model. In this video I will show you how to find, download, and install the Microsoft Excel Data Analysis Toolpak on a Mac Operating System. You want to go to (ht. After you load the Solver Add-in, the Solver command is available in the Analysis group on the Data tab. On the Tools menu, select Excel Add-Ins. In the Add-Ins available box, select the Solver Add-In check box, and then click OK.

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Analysis Toolpak for Mac

This handy add-on replaces Microsoft Analysis Toolpak in Excel 2008-2019 for Mac. It features a detailed migration guide for users switching from Analysis Toolpak to StatPlus:mac and has the Excel interface you already know! StatPlus:mac LE is fully compatible with Excel 2004—2019 and is the Microsoft recommended replacement of its own Analysis Toolpak module.

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StatPlus:mac Pro allows Microsoft Excel for Mac users to perform all forms of data analysis from the very basics to complex analysis, including as non-parametric and regression analysis, survival analysis, and a wide variety of other methods. Pro users are entitled to receive unlimited priority support during one year (and even on weekends).

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Standard Solution

Data Analysis For Excel Mac 2011

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Requirements

List app for mac. StatPlus:mac requires macOS 10.9-10.15 (v6 requires 10.7+). macOS Catalina is supported. StatPlus:mac supports Microsoft Excel for Mac (supported versions: 2004, 2008, 2011, 2016, 2019; Office 365 for Mac v16) and Apple Numbers v3/4/5 as a data source. StatPlus:mac does not require Internet connection (except for optional auto-update feature).

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Free or Premium? Features Comparison — StatPlus:mac Pro vs. LE

Using Excel For Data Analysis

  • Only in StatPlus:mac Pro.
  • Available in free LE version.
Using excel for data analysis
  • 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 v3, v4 and v5.
    • 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.
  • 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.

Excel For Data Analysis Pdf

Tutorials

Find out how to use StatPlus:mac. Tutorials for current version v6 coming soon.

Microsoft Excel For Data Analysis

Solver was added to Microsoft Office for Mac 2011 in Service Pack 1. You can download and install Office for Mac 2011’s Service Pack 1 by clicking on the link below:

When you have installed Service Pack 1 (SP1), follow these steps to start Solver:

Excel For Mac 2011 Data Analysis Example

a. Start Excel.
b. Click Tools -> Select Add-Ins.
c. Click to select the check box for Solver.Xlam.
d. Click OK.

Excel For Mac 2011 Data Analysis Data

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: