Welcome to the course website for STA261 (Probability & Statistics II). This course is offered by the department of Statistical Sciences, and is the second of two canonical mathematical statistics courses designed for undergraduate students in statistical sciences, computer science, and other quantitative fields.

Course Requirements

Undergraduate-level understanding of

Prerequisites and corequisites are required and will not be waived.

Overview

A rigorous introduction to the theory of statistical inference and to statistical practice. Topics covered include: sampling, statistical models, properties of estimators, likelihood estimation, Bayesian methods, hypothesis testing and confidence interval estimation, and linear regression. Real-world examples will be used to illustrate statistical theory and its limitations.

Important information related to STA261 will be posted on this website including:


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