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Covers the Chi-square test to assess relationships between categorical variables through contingency tables.
Two-way ANOVA and Chi-square Test
Explores two-way ANOVA, chi-square test, model comparison, and variable transformation for statistical analysis.
Estimation of Theoretical Frequencies
Covers the estimation of theoretical frequencies and independence testing between two characteristics, with examples for practical application.
Likelihood Inference
Covers iterative weighted least squares, Poisson regression, mixed models, and likelihood ratio statistic.
Modern Regression: Spring Barley Data
Covers inference, weighted least squares, spring barley data analysis, and smoothing techniques.
Inference: Model Checking
Covers iterative weighted least squares, generalized linear models, and model checking.
Modern Regression: Inference and Models
Covers iterative weighted least squares, model checking, and generalized linear models in regression analysis.
Modern Regression: Overdispersion and Model Assessment
Explores overdispersion, model assessment, and regression techniques for count data.
Hypothesis Testing: T-Test and Chi-Square Test
Explains hypothesis testing using T-test and Chi-square test to compare means and assess independence of variables.

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