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College of Arts & Sciences
Department of Statistics

STAT 701

701—Applied Statistics II. (3) (Prereq: STAT 700 or consent of department) Continuation of STAT 700. Simple linear regression, correlation, multiple regression, fixed and random effects analysis of variance, analysis of covariance, experimental design, some multivariate methods, various statistical packages. Not to be used for M.S. or Ph.D. credit in statistics or mathematics.

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 1.75 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 1.25 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: basics of matrix notation; partitioning the ANOVA table, Type I (Sequential) tests, Type III tests, t-tests and intervals; variable selection, adjusted R-square, Mallows Cp; higher order terms; outlier diagnostics, hat-diagonal, externally studentized residuals, DFFITs; multicolinearity 12-13 3 weeks
Logistic regression: introduction to maximum likelihood estimation, likelihood ratio test, Wald test and interval, relation to odds, Hosmer and Lemeshow test 12 cont. 1.5 weeks
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 1.5 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