Basics, Distributions, Central Location
Dispersion, Normal Distribution, standard scores
Sampling Distribution, Estimation, Hypothesis, Error I & II
Simple Linear Correlation: Pearson's r, Scatter, r2, partial
Simple Linear Regression: Prediction, estimation, significance, R2
Comparing 2 means (samples): t-test (dependent & independent samples)
Chi-square Analysis & Non-parametric Correlations (χ², C, Φ, rs, rpb)
Simple ANOVA: k independent samples (assumptions, applications, Tukey)
Simple ANOVA: k dependent samples (assumptions, applications, Tukey)
Nonparametric Comparison of 2 Samples (Mann-Whitney, Wilcoxon)
Nonparametric comparison of k samples (Kruskal-Wallis, Friedman).
Class:
501 - STATS in P.E.S. (I) - postgraduate course