Subject: 232A
Title: Applied Statistics I
Units: 4.0
School: College of Letters and Science LS
Department: Statistics STA
Effective Term: 2011 Fall
Learning Activities
- Lecture - 3.0 hours
- Laboratory - 1.0 hours
Description
Estimation and testing for the general linear model, regression, analysis of designed experiments, and missing data techniques.
Prerequisites
STA 106; STA 108; STA 131A; STA 131B; STA 131C; MAT 167
Expanded Course Description
Summary of Course Content:
Analysis of factorial models, regression, analysis of covariance, randomized block designs, repeated measures, nested models.
Simultaneous inference (including the modern topics like FDR), missing data techniques.
Illustrative Reading:
Possible textbooks covering (parts) of the 232-sequence:
1. H. Scheffe (1959) The Analysis of Variance, Wiley
2. A. Sen and M. Srivastava (1990) Regression Analysis, Springer
3. J. Faraway (2005)Linear Models with R, Chapman & Hall/CDC W.N. Venables and
4. B.D. Ripley (2003): Modern applied statistics with S-plus, 4th ed., Springer
Potential Course Overlap:
None