This Statistical Modelling course in statistical inference and is a further examination of statistics and data analysis beyond an introductory course. Topics include t-tools and permutation-based alternatives including bootstrapping, multiple-group comparisons, analysis of variance, linear regression, model checking, and refinement.
Statistical computing and the simulation-based emphasis are covered as well as basic programming in the R statistical package. Thinking statistically, evaluating assumptions, and developing tools for real-life applications are emphasized.
What Will I Learn?
- Learn bootstrapping
- Learn multiple-group comparisons
- Learn analysis of variance
- And much more
Topics for this course