**Office Boyd 313**

**Office Hours Mon. 10:00-11:00 a.m. 1:00 – 2:00 p.m.**

**
Tu. 12:15 – 3:15**

** Thur. 12:15 – 4:15 **

**Text Applied
Linear Statistical Models 5^{th} ed.**

** By John
Neter, Michael Kutner, Chris Nachtsheim, William Li**

**Description**

**The purpose of this course is to learn when, why, and how
analysis of variance statistical testing is used. Random and fixed effects
ANOVA models will be studied extensively using the statistical software
Minitab. Multiple comparison methods such as Bonferroni, Scheffe, and
Tukey will be used.**

**Students will be able to recognize the various ANOVA
models and when they are appropriate.**

**Students will analyze ANOVA models to determine if they
satisfy the assumptions of valid models.**

**Students will identify the appropriate multiple
comparison method needed according to the information desired.**

**Students will utilize residual analysis to detect
departures from ANOVA assumptions**

__Material Covered__
Chapters 16-21

**Single factor ANOVA model**

**Estimation and testing of factor level effects**

**Tukey, Scheffe, and Bonferroni multiple comparison
procedures**

**Residual Analysis**

**Tests for constant variance **

**Overview of remedial measures**

**Two-Factor analysis of variance**

**Analysis of factor effects in two-factor studies**

**Two-factor studies-one case per treatment**

**Three Exams 75%**

**Final 25%**

**Students may elect to complete a project consisting of 1
or more problems at the end of each chapter that relate to a specific
data set in the appendix. The project grade will be used to replace any exam
grade that is lower than the project grade. The project is due the last class meeting. **