Preface
1
Frequentist Statistics
2
Likelihood Statistics
2.1
Maximum Likelihood Estimation
3
Bayesian Statistics
3.1
Bayes’ Law
3.2
Bayesian Inference
3.3
Discrete Cases
3.4
Continuous Cases
3.5
Bayes Factors
3.6
A Gentler Introduction
3.7
Coursera Notes Inference
4
One-Sample
4.1
One-Sample Mean z Test
4.2
One-Sample Mean t Test
4.3
One-Sample Median Wilcoxon Test
4.4
Chi-Squared Goodness-of-Fit Test
4.5
G-Test
4.6
One-Sample Poisson Test
4.7
Exact Binomial Test
4.8
One-Sample Proportion z Test
4.9
1 sample t Test for Categorical Var
4.10
Wilcoxon 1-Sample Median Test for Categorical Var
5
Group Differences
5.1
Independent Samples t-Test
5.2
Wilcoxon Rank Sum Test
Case Study 1
5.3
Paired Samples t-Test
5.4
Wilcoxon Signed-Rank Test
Case Study 2
5.5
One-way ANOVA
5.6
Kruskal–Wallis Test
Case Study 3
5.7
Chi-Square Test of Homogeneity
5.8
Fisher’s Exact Test
Case Study 4
5.9
Pairwise Prop Test
5.10
McNemar’s Test
6
Association
6.1
Pearson’s Correlation
6.2
Spearman’s Rho
6.3
Kendal’s Tau
6.4
Case Study: Pearson, Spearman, Kendall
6.5
Chi-Square Test of Independence
6.6
Fisher’s Exact Test
6.7
Case Study: Chi-Square, Fisher
6.8
Kruskal’s Lambda
6.9
Relative Risk
6.10
Odds Ratio
References
Statistical Inference
4.10
Wilcoxon 1-Sample Median Test for Categorical Var
This test applies when the variable is not normally distributed.