Statistical Methods (STA 3523-002) Spring ’99
		  Time: TR 2:00- 3:15 pm, Room: HSS 3.03.18

Instructor:	Dr. Ming-Ying Leung

Office Hours:	TR  10 am - 12 noon, or by appointment
		Office:	SB 4.01.22, Phone: 458-5535, Fax: 458-4439
		Email:	leung@math.utsa.edu
		Web:	http://www.math.utsa.edu/~leung/

Course Objectives: To provide students with an understanding of the 
theory of estimation and hypothesis testing. Students will gain experience 
with several common statistical methods useful in analyzing data from the 
sciences and engineering.

Scope: This course will introduce the theory of estimation and hypothesis 
testing and cover several statistical methods including chi-square tests, 
linear regression, analysis of variance.
			
Text:	"Mathematical Statistics with Applications", 5th Edition, by 
	Wackerley, Mendenhall and Scheaffer.
 
Prerequisite:	STA 3513 (Probability and Statistics)

Syllabus:	Chapter 7	Sampling Distributions and Central Limit Theorem (Review)
		Chapter 8	Estimation
		Chapter 9	Properties of Point Estimators and Methods of Estimation
		Chapter 10	Hypothesis Testing
		Chapter 11 	Linear Models and Estimation by Least Squares 
		Chapter 13	The Analysis of Variance
		Chapter 14	Analysis of Categorical Data		
			
Calculator:	Texas Instrument TI-83

Software:	MINITAB, Student Edition.

Grading:	There will be 10 homework assignments, at least 15 class 
exercises, two in class tests, and a final exam. They will contribute to 
your overall grade according to the following percentages.

	Homework:	20%	(Due in class every Thursday except on test dates) 
	Class Ex.:	15% 	(Group work in class)
	Test I: 	20% 	(In class Thursday, 2/25)
	Test II:	20%	(In class Thursday, 4/8)
	Final Exam:	25% 	(Friday, 12/11, 10:30 am - 1:15 pm)

NO MAKEUP EXAM will be given except for emergency or medical reasons. In 
such cases, the student should submit a written request accompanied by 
official documents to arrange for a makeup test. Overdue assignments will 
only be accepted for a good reason. However, the instructor reserves the 
right to discount part or all of the credit for any late homework.

LAST DAY TO DROP an individual course and receive a grade W is 3/19.