Two-way ANOVA and Chi-square Test

Related lectures (32)

Page 1 of 4

Covers the Chi-square test to assess relationships between categorical variables through contingency tables.

Covers the essentials of ANOVA, explaining its concept, calculations, assumptions, and interpretation of results.

Covers Analysis of Variance (ANOVA) for assessing categorical variable effects on quantitative outcomes.

Covers the estimation of theoretical frequencies and independence testing between two characteristics, with examples for practical application.

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Explains the Chi-Square test for independence hypothesis and its practical applications.

Explores the impact of a binary covariate on binary responses using 2x2 tables.

Covers the basics of experimental design and analysis, focusing on statistical techniques like ANOVA, regression, mediation, and moderation.

Explores linear regression estimation, hypothesis testing, and practical applications in statistics.

Covers the revision of variables, categorical data analysis, and goodness-of-fit tests.