Introduction
What this guide covers
The analysis of independent samples constitutes one of the pillars of applied statistics. While parametric Analysis of Variance (ANOVA) requires the validity of the Gaussian assumptions and the constancy of variances across groups, the scientist regularly faces markedly asymmetric data, ordinal scale, or contaminated by severe outliers.
Overview
Topics covered
- Introduction
- Inference of k independent samples
- 1. Parametric limits and the non-parametric alternative
- 2. Fundamentals of Range Inference
- The process of mathematical rank assignment
- 3. The Kruskal-Wallis Test (Complete Theory)
Related concepts
Main connections
Compatible notation
Mathematical sample in LaTeX
The expression is rendered accessibly, with its LaTeX source preserved below.
View LaTeX source
Y_{ij} = \mu + \tau_i + \varepsilon_{ij}