Statistical models and applications of probability; commonly used sampling distributions; parametric and nonparametric one and two-sample tests and confidence intervals; analysis of contingency tables ...

Logistic regression is a powerful ... and a p-value (a probability of obtaining statistical test results as extreme as the observed results). The z statistic is used to derive the p-value using a ...

Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet ...

The course provides a precise and accurate treatment of probability, distribution theory and statistical inference ... A treatment of linear regression models, featuring the interpretation of computer ...

The main focus of this short course will be the Bayesian aspect of it. That means this is a slightly more advanced course requiring some knowledge of basic probability, regression methods, and the R ...

Julie Young is an experienced financial writer and editor. She specializes in financial analysis in capital planning and investment management. Suzanne is a content marketer, writer, and fact-checker.