Usually Offered: Spring Semesters

Purpose: To expand the methodological abilities of future scientists in the experimental, social, and professional sciences beyond what is usually learned in a basic course.

Current Textbook: An Introduction to Statistical Methods and Data Analysis (6th edition), by R. Lyman Ott and Michael Longnecker. Brooks/Cole, 2010.

 

Topics Covered	Chapters	Time
One-way ANOVA: logic of the ANOVA table and test, assumption checking, modified Levene test for multiple samples, the Kruskal Wallis test	8	1.5 weeks
Multiple comparisons: family-wise error rate, Bonferroni and Sidak corrections, step-down Bonferroni, Fisher's LSD, contrasts, Tukey's HSD, Dunnett's procedure, Hsu's MCB, Scheffe's method.	9	1.5 weeks
Simple linear regression: brief review from STAT 700, the ANOVA table for regression, log transformation, Box-Cox transformation, basic transformations for non-linearity, relationship of ANOVA table to r-squared	11	1 weeks
Multiple regression	12-13	3 weeks
Logistic regression	12 cont.	1 week
ANOVA for factorial designs	14	1 week
ANOVA for block designs	15	1 week
Analysis of Covariance	16	1 week
Random effects, repeated measures, and unbalanced designs	17-19	2 weeks

The above textbook and course outline should correspond to the most recent offering of the course by the Statistics Department. Please check the current course homepage or with the instructor for the course regulations, expectations, and operating procedures.  

Contact Faculty: Brian Habing
(Last Updated: February 2, 2012)