01 Jan, 1970
Step-by-step guide to running independent samples t-tests, covering key assumptions (normality, equal variances), interpreting results with Cohen's d, avoiding common mistakes, and software implementation in R/SPSS/Python.
Step-by-step guide to Wilcoxon rank sum and signed rank tests: Learn assumptions, R/Python code, real-world examples, and how to choose between them for non-normal data. Includes comparison tables and common pitfalls.
Step-by-step guide to individual sample t tests with real-world applications. Learn when to use it, avoid common mistakes, interpret results, and run analyses in Excel, R, or Python. Includes practical examples.