MegaStat works with Windows versions of Excel 2016, 2013, and 2010. There are also Apple Mac versions for Mac Excel 2016 and 2011. Check out the User Guides, and FAQ documents for either PC or MAC for more information. Download latest version of Microsoft Excel for Windows. Safe and Virus Free.

1. Microsoft Excel Megastat Download
2. Megastat Download Free For Mac Excel 2016 Download
3. Megastat Download Free For Excel
4. How To Get Megastat On Excel 2016
5. Megastat Download Excel 2010

Overview

MegaStat Installer is a Shareware software in the category Miscellaneous developed by MegaStat Installer.

The latest version of MegaStat Installer is currently unknown. It was initially added to our database on 10/30/2007.

MegaStat Installer runs on the following operating systems: Windows/Mac.

MegaStat Installer has not been rated by our users yet.

Write a review for MegaStat Installer!

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Requirements

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StatPlus:mac requires macOS 10.9 or newer (macOS 11 Big Sur is supported; v5 requires 10.5+). StatPlus:mac supports Microsoft Excel for Mac (supported versions: 2004, 2008, 2011, 2016, 2019) and Apple Numbers v3/v4/v5 as a data source. StatPlus:mac does not require Internet connection (except for optional auto-update feature).

• 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.

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• 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.