Professor Of Advanced Descriptive And Inferential Statistics
Self-Employed
- Statistics of central tendency, dispersion and form.- Univariate and multivariate descriptive charts and graphs (Bar, cake, histogram, scatter plot, box-and-whiskers plot, stem-and-leaf graph, multiple lines, trend, interaction).- Correlations, simple and multiple regressions, linear equation in slope-intercept, prediction of scores, special methods of correlation.- Probabilities (conditioned probabilities, total probability theorem, Bayes' theorem, probability functions, binomial… Show more - Statistics of central tendency, dispersion and form.- Univariate and multivariate descriptive charts and graphs (Bar, cake, histogram, scatter plot, box-and-whiskers plot, stem-and-leaf graph, multiple lines, trend, interaction).- Correlations, simple and multiple regressions, linear equation in slope-intercept, prediction of scores, special methods of correlation.- Probabilities (conditioned probabilities, total probability theorem, Bayes' theorem, probability functions, binomial function theorem).- A/B testing, Type I and Type II Errors, Inferential Statistics Logic.- Parametric univariate hypothesis tests (Student's Z-test and t-test, one-way ANOVAs) and nonparametric (Wilcoxon-Mann-Whitney U-test)- Multivariate hypothesis tests (ANCOVA, Latin Square, MANOVA).- Multivariate analysis (Cluster Analysis, Discriminant Analysis, Factorial Analysis).- Frequency analysis (χ² test for contingency tables, χ² test for goodness of fit).- Statistical investigation software for processing and reports (SPSS, Tableau). Show less