AMS-256

AMS 256 - LINEAR STATISTICAL MODELS

General Description: This is an intermediate level statistics course covering theory, methods and applications of linear models. Main topics are: simple correlation and simple linear regression; multiple and partial correlation and multiple linear regression; analysis of variance (one and two ways); linear model diagnostic and validation and model selection. Case studies drawn from the natural, social and medical sciences will be presented to motivate and develop the methological aspects of the course. Prerequisites are: AMS 5 or 7 or Computer Engineering 107 or permission of the instructor.
Textbook:

A Second Course in Statistics: Regression Analysis (Sixth Edition). W. Mendenhall and T. Sincich. Prentice Hall.

Grading: There will be one midterm (35%, Tues., Feb. 08), two quizes (15%, Thus., Jan. 20 and 15%, Thus., Feb. 24) and a final exam (35%, Thus., March 17, 4:00-7:00). Exams and quizes will be based on the homework.
Homework: There will be regularly spaced homework which will not be graded. The solutions will be discussed in class. Homework will give a very close indication of the material that will be covered in exams and quizes. Some of the homework will involve numerical exercises to be solved by the use of the statistical package R. Exams and quizes will have a take home part that will include numerical exercises.

B. S.

01/03/05