Implement data analysis and multivariate statistical analysis. 1. Probability analysis – compute and graph probability density function values, cumulative distribution function values, survival function values, hazard function values, quantile values, means and variances. 2. Compute descriptive statistics of selected data. 3. Frequency analysis. 4. Compare means – one sample t test, independent-samples t test and paired-samples t test. 5. Compare variances – one sample and two samples. 6. Variance analysis – one-way ANOVA and two-way ANOVA. 7. Z test. 8. Correlation tests. 9. Jarque Bera test. 10. Non-parametric tests, including one sample Chi-square test, two samples Chi-square test, one sample K-S test, two samples K-S test, sign test, Wilcoxon signed rank test, Mann Whitney U test. 11. Regression analysis, including univariate linear regression, multivariate linear regression, linear curve fitting, nonlinear curve fitting, trend surface analysis, stepwise regression etc. 12. Correlation analysis, including bivariate correlation analysis, partial correlation analysis and canonical correlation analysis. 13. Cluster analysis, including stepwise cluster analysis, hierarchial cluster analysis and dynamical cluster analysis. 14. Stepwise discriminant analysis. 15. Principal component analysis. 16. Factor analysis. 17. Correspondence analysis. 18. Statistics plots. 19. Data visualization.
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Summary: Jarque Bera, Mann Whitney, Wilcoxon, Principal
Concepts: Statistics, Normal distribution, Multivariate statistics, Statistical tests, Variance, Non-parametric statistics, Probability theory, Regression analysis
/business and industrial/business operations/business plans
Tags: function values, bivariate correlation analysis, stepwise cluster analysis, canonical correlation analysis, partial correlation analysis, multivariate linear regression, Stepwise discriminant analysis, hierarchial cluster analysis, Implement data analysis, univariate linear regression, density function values, distribution function values, hazard function values, survival function values, Jarque Bera test, dynamical cluster analysis, sample Chi-square test, Compute descriptive statistics, trend surface analysis, sample K-S test, samples K-S test, linear curve fitting, Principal component analysis, Mann Whitney, stepwise regression, Regression analysis, nonlinear curve fitting, Probability analysis, Correlation tests, quantile values, industrial/business operations/business plans, Variance analysis, Frequency analysis, sample t test, Whitney U test, Factor analysis, independent-samples t test, paired-samples t test, Non-parametric tests, Multivariate statistics, Correspondence analysis, Non-parametric statistics, rank test, sign test, one-way ANOVA, Probability theory, Statistics plots, two-way ANOVA., Statistical tests, unlimited useSummary