STAT 2080: Statistical Methods for Data Analysis and Inference

Focuses on applied statistical modeling and data interpretation. Key topics include two-sample testing, one-way and two-way Analysis of Variance (ANOVA), multiple linear regression, contingency tables, categorical data analysis, and non-parametric tests.

• Probability theory: sample spaces, conditional probability, Bayes' Theorem, and random variables in STAT 2080
• Probability distributions: discrete (Binomial, Poisson, Geometric) and continuous (Normal, Uniform, Exponential) models
• Inferential statistics: Central Limit Theorem, confidence interval estimation, and hypothesis testing (t-tests, ANOVA, Chi-Square)
• Regression analysis: simple/multiple linear regression, correlation coefficients, R-squared, and residual diagnostics in Statistical Methods for Data Analysis and Inference