StatPlus:mac LE Meet StatPlus:mac LE — a free edition of StatPlus:mac Professional developed by AnalystSoft. If you are using a Mac and Microsoft Excel 2004–2019 for Mac or Apple Numbers for daily analytical and statistical purposes, StatPlus:mac LE is exactly what you need to get started! Get a powerful statistical tool for free – now with a set of new essential features - without leaving Excel. Try the free version now and find out why - statistically - most people stop looking for any other tools once they find StatPlus:mac! By installing this software you accept all the terms and conditions of the end user license agreement provided. No matter if you are an experienced user migrating from a familiar toolset or a novice exploring the capabilities of the new software, StatPlus:mac LE gives you an easily configured workspace with a vast array of tools. Did you find a user-friendly data analysis tool that works on your Mac? StatPlus:mac turns your copy of Microsoft Excel for Mac (2004 - 2019). Wilcoxon Matched Pairs Test, Sign Test, Friedman ANOVA, Kendall's Coeff. Of Concordance. This free application demonstrates qualities typically only available in costly specialized suites – consistency and accuracy of results, reliability, plenty of data analysis models and tools, various data types, graphs, charts and much, much more. • Pro Features • Standalone spreadsheet with Excel and OpenOffice 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. • Bug fix warranty and free major upgrades during your maintenance period. • Access to Windows version. • Basic Statistics • Detailed descriptive statistics. • One-sample t-test. • Two-sample t-test (also includes Pagurova Criterion, G-Criterion). • Two-sample t-test for summarized data. • Fisher F-test. • One-sample and two-sample z-tests. • Correlation coefficients (Pearson, Fechner) and covariation. • Normality tests (includes D'Agostino's tests). ![]() • Cross-tabulation and Chi-square. • Frequency tables analysis (for discrete and continuous variables). • Analysis of Variance (ANOVA) • One-way and two-way ANOVA. • Three-way analysis of variance. • Post-hoc comparisons - Bonferroni, Tukey-Kramer, Tukey B, Tukey HSD, Neuman-Keuls. • General Linear Models (GLM) ANOVA. • Within subjects ANOVA and mixed models. School schedule app mac. • Data Classification • Discriminant function analysis. • Nonparametric Statistics • 2x2 tables analysis (Chi-square, Yates Chi-square, Exact Fisher Test, etc.). ![]() • Rank and percentile. • Chi-square test. Eureka math lesson 14 4.3. • Rank correlations (Kendall Tau, Spearman R, Gamma.). • 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 Coeff. Of Concordance. • Cochran's Q Test. • Regression Analysis • Multivariate linear regression. • Weighted Least Squares Regression (WLS) regression. • Logistic regression. • Stepwise (forward and backward) regression. • Polynomial regression. • Cox proportional-hazards regression. • Time Series Analysis • Autocorrelation (ACF) and partial autocorrelation (PACF). • Moving average. • Interrupted time series analysis. • Fourier analysis. • Data processing - mean removal, differencing, exponential smoothing. • Survival Analysis • Cox proportional-hazards regression. • Probit-analysis (Finney and MLS algorithms) with cumulation coefficient estimation. Used for LD50 (ED50) calculation. • Data Processing • Sampling (random, periodic, conditional). • Random numbers generation. • Standardization. • Stack/unstack operations. • Matrix operations. • Statistical Charts • Histogram, scatterplot, box-plot. • Control charts: X-bar, R-chart, S-chart, P-chart, C-chart, U-chart, CUSUM-chart.
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