StatPlus:mac

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List of statistical features:

  • 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.).
    • 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.

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