StatPlus:mac

But what if you work for a math-heavy industry such as pharmacology, medicine or business, 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 2004/2008/2011 into a powerful statistical tool without making you learn another software or part with extraordinary amounts of money. You'll use the familiar Microsoft Excel interface to perform complex analysis and calculations, enabling you to concentrate on analyzing the results rather than figuring out how to achieve them.

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Perform statistical analysis on a Mac in the familiar environment. Turn Microsoft Excel into a powerful statistical package with StatPlus:mac. Stop wasting time learning new tools and perform complex statistical analysis right away.

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70+ Features

StatPlus:mac 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.

Complete Features List

Multi-platform

StatPlus:mac is available for both Mac and PC platforms (PC version includes standalone and Excel add-in versions) at no extra charge. Save learning time and costs for your mixed PC and Mac environment.

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Free Trial

We have free trial that gives you an opportunity to evaluate the software before you purchase it. Should you have any questions during the trial period, please feel free to contact our Support Team.

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Affordable

StatPlus:mac is most affordable solution for data analysis on Mac with Excel. You will benefit from the reduced learning curve and attractive pricing while enjoying the benefits of precise routines and calculations. Mac/PC license is permanent, there is no renewal charges.

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Requirements

StatPlus:mac requires Mac OS 10.5-10.10 with Microsoft Excel 2004/2008/2011 installed. StatPlus:mac does not require Internet connection (except for optional auto-update feature).

Screenshots

Statistical features list

  • Basic Statistics
    • Detailed descriptive statistics
    • Comparing means t-Tests, Pagurova Criterion, G-Criterion.
    • Fisher F-test.
    • One sample and two samples z-tests.
    • Correlation coefficients (Pearson, Fechner) and covariation.
    • Normality tests (incl. 1990 D'Agostino's tests).
    • Cross-tabulation.
    • Frequency tables analysis (discrete/continuous).
  • Analysis of Variance (ANOVA)
    • One-way, two-ways, 3-ways analysis of variance
      With post-hoc tests - 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.
  • Design of Experiments (DOE).
    • Latin and greco-latin squares 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, etc.).
    • Comparing independent samples
      Mann-Whitney U Test, Kolmogorov-Smirnov test, Wald-Wolfowitz Runs Test, Rosenbaum Criterion;Kruskal-Wallis ANOVA, Median test.
    • Comparing dependent samples
      Wilcoxon Matched Pairs Test, Sign Test, Friedman ANOVA, Kendall's Coeff. of Concordance.
    • Cochran Q Test.

  • Regression Analysis
    • Multivariate linear regression.
    • WLS regression.
    • Logistic regression.
    • Stepwise regression.
    • Polynomial regression.
    • Cox proportional-hazards regression.
  • Time Series Analysis
    • Moving average.
    • Interrupted time series analysis.
    • Fourier analysis.
    • Data processing - mean removal, differencing, exponential smoothing.
  • Survival Analysis
    • Cox proportional-hazards regression.
    • Probit-analysis (incl. Finney and MLS methods) with cumulation coefficient estimation.
      Used for LD50 (ED50) calculation.
  • Power Analysis and Sample Size (PASS)
    • Prevalence survey sample size.
    • Binomial exact confidence interval.
    • Sample size needed to observe at least N events.
    • Sample size for a case-control study.
  • Data Processing
    • Sampling (random, periodic, conditional)
    • Random numbers generation.
    • Standardization.
    • Stack/unstack operations.
    • Matrix operations.
  • Statistical Charts
    • From histogram up to box-plot.
    • Control chars - X-bar, R-chart, S-chart, P-chart, C-chart, U-chart, CUSUM-chart.

Tutorials

Find out how to use StatPlus:mac. Tutorials for current version v5 coming soon.

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