Lectures related to Wilcoxon signed-rank test

Provides an overview of hypothesis testing and confidence intervals in statistics, including practical examples and key concepts.

Explores randomization tests as an alternative to t-tests for experimental analysis, using fake data to assess treatment effectiveness.

Explains hypothesis testing using T-test and Chi-square test to compare means and assess independence of variables.

Explores the principles and applications of Analysis of Variance (ANOVA), including test hypotheses, models, assumptions, and post-hoc tests.

Covers statistical design of experiments, focusing on minimizing costs and maximizing accuracy.