STAT 4210: Inference for multiple regression using JMP

STAT 2100H: Two sided tests

STAT 2100H: One proportion z test

STAT 2100H: Normal approximation

STAT2100H: Standardized statistics

STAT 2100H: Standard error

STAT 2100H: Measuring the strength of evidence

STAT 2100H: Introduction to chance models

MSIT 3000: Populations and Samples

MSIT 3000: Formulating statistical questions

STAT 4210: Multiple regression with two quantitative predictors

STAT 4210: Describing strength of association between categorical variables

STAT 4210: Connecting ANOVA and regression

STAT 4210: Types of design and analysis

STAT 4210: Logistic regression in JMP

STAT 4210: Chi-squared test using JMP

STAT 4210: Simulation-based test for association between categorical variables

STAT 4210: Adjusting for confounders in categorical data

STAT 4210: Using best subsets to select a model

STAT 4210: Partial F-test for multilevel categorical predictors

STAT 4210: Multilevel categorical variables in multiple regression

STAT 4210: Multiple regression with interaction (indicator coding)

STAT 4210: Multiple regression with interaction

STAT 4210: Checking conditions for multiple regression

STAT 4210: Inference for multiple regression using JMP