COURSE SYLLABUS

Ohio Northern University

College of Arts and Sciences

Department of Mathematics

Effective Date: Winter 2005-06

Course: STAT 352 Name: Analysis of Variance with Experimental Design

Credit hours: 4 Lecture hours/week: 4 Lab hours/week: 0

Instructor: Robinson or staff

Usual student level: Sophomore/Junior/Senior

Course required of students in:

Course frequency per year: Once every other year

Average enrollment per year: 8

This course has a prerequisite: Stat 142, 146, 156, or 280

This course is a prerequisite for:

Course grading: Normal [A,B,C,D,F]

Catalog Description: Single factor analysis of variance, multiple comparisons, two and multiple factor analysis of variance, completely randomized designs, randomized block designs, analysis of covariance, random effects models, additional experimental designs.

Course Objectives: To introduce students to the methods, models, and concepts of analysis of variance and experimental design.

Textbook (recommended): A cheap copy of one of the editions of “Applied Linear Statistical Models” by Neter et. al. (Irwin)

NOTE: TI-83 or TI-86 required

Outline of content follows: (see attached)

Course Outline

Course: STAT 352

Title: Analysis of Variance with Experimental Design

1. Introduction and review

2. Regression

3. Single factor analysis of variance

4. Multiple comparisons

5. Random effects models

6. Experimental design: completely randomized designs and randomized block designs

7. Two and multiple factor analysis of variance

8. Analysis of covariance

9. Additional experimental designs: nested, repeated measures, Latin square