MAT 351 Syllabus, Spring 2004
Math 351 Course Homepage
Course: MAT 351 Statistics and Data Analysis
Lecture: Mon/Wed/Thurs. 3:00 - 3:50 P.M. at 310 Stevenson Hall
Lab: Fri.                      3:00 - 3:50 P.M. at 440 Stevenson Hall
Course Homepage:
Textbook: Introduction to Probability and Statistics for Scientists and Engineers by Walter A. Rosenkrantz.
References: Probability and Statistical Inference, Hogg & Tanis.
Applied Linear Statistical Models, Neter, Wasserman, Kutner.
Instructor: Prof. Dong-Yun Kim
Office: 309A Stevenson Hall
Phone: (309) 438-7788
Office Hours: MWRF 2:00 - 2:50 P.M.
Grade Assignment:
Written Work Percent of Grade
Homework sets
Two in-class exams
Final exam
Final project
Lab quiz
Lecture:  A tentative schedule is to review the materials of the first 6 chapters 
during the first two weeks and then cover point and interval estimation, hypothesis tests, nonparametric tests, chi-square tests, ANOVA and simple/multiple linear regressions. For weekly schedule and exam dates, refer to Lecture notes will be available at the course website.
Homeworks:  Homeworks are assigned at regular intervals. If desired, students may 
form pairs; in such cases, each pair should turn in one solution set, and the names of both students should be on the solution set. On rare occasions, extension of the due date is granted at the instructor's discretion. 
Lab: Friday classes are held in the computer room. Hands-on experience
with data are emphasized. Minitab for Windows is used for data summary and analysis. A time-limited trial version (good for 30 days) is available for download at the vendor website Lab notes will be posted each week prior to the class.
Lab Quiz: Quiz problems are assigned in lab each week.
Grade: Letter grade does not follow a curve. If your grade is at least 90, your letter grade is A; at least 80 and letter grade is B and so on.

MAT 351 Course Homepage