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Course: STAT 24500
Title: Statistical Theory and Method 2
Instructor(s): Wei Biao Wu
Teaching Assistant(s): Ran Dai, Enakshi Saha, and Fengshuo Zhang
Class Schedule: Sec 01: TR 9:00–10:20 AM in Harper 140
Office Hours:  
Course Homepage: Course Home Page
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): Multivariate calculus (MATH 19520 or 20000 or 20500, or equivalent) and linear algebra (MATH 19620 or 20250 or STAT 24300 or equivalent) and STAT 24400 or STAT 24410