STAT 261

Introduction to Probability and Statistics II

Units: 1.5

Hours: 3-1-0

Introduces the mathematical and probabilistic foundation for many statistical techniques used in practice. Basic probability theory and distributions; likelihood methods; likelihood ratio tests for simple and composite hypotheses; hypothesis tests for binomial and multinomial probability tables; tests for independence in contingency tables; confidence intervals; pivotal quantities; normal theory; analysis of data from one-sample and two-samples; regression and correlation; analysis of variance; paired measurements; model assessment. Additional topics may include Bayesian statistics and distribution-free methods.

Note:

Prerequisites:

Undergraduate course in Statistics offered by the Department of Mathematics and Statistics in the Faculty of Science.

Schedules:
Summer 2019 Fall 2019 Spring 2020

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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