Examples for Statistical Assumption Checker & Diagnostic Guide

Comprehensive assumption validation for ANCOVA with multiple treatment groups and covariates. Covers missing data handling, normality per group, homogeneity of variance, linearity of covariates, homogeneity of regression slopes, and independence with detailed decision frameworks.

Decision guidance when standard ANOVA assumptions are violated. Demonstrates outlier investigation protocol, comparison of alternative methods (Kruskal-Wallis vs Welch's ANOVA), and provides implementation code when data has skewness, outliers, and heterogeneous variances.

Complete assumption validation for comparing two groups with a t-test. Demonstrates the five key assumptions (missing data, normality, homogeneity of variance, independence, outliers) with educational explanations, Q-Q plot interpretation guidance, and methods section template.