Winter 2022 STAT 24500

Course: STAT 24500

Title: Statistical Theory and Method 2

Instructor(s): John Reinitz

Teaching Assistant(s): Hai Tran Bach, Yi Wang

Class Schedule: Sec 1: TR 11:00 AM–12:20 PM in MS 112

Textbook(s): Rice, Mathematical Statistics and Data Analysis, 3rd edition.

Description: This course is the second quarter of a two-quarter systematic introduction to the principles and techniques of statistics, as well as to practical considerations in the analysis of data, with emphasis on the analysis of experimental data. This course continues from either STAT 24400 or STAT 24410 and covers statistical methodology, including the analysis of variance, regression, correlation, and some multivariate analysis. Some principles of data analysis are introduced, and an attempt is made to present the analysis of variance and regression in a unified framework. Statistical software is used.

Prerequisite(s): Linear algebra (MATH 19620 or 20250 or STAT 24300 or equivalent) and STAT 24400 or STAT 24410.

Note(s): Students may count either STAT 24500 or STAT 24510, but not both, toward the forty-two credits required for graduation.