Instructor: Ed Connor
Office: Hensill Hall 760 Phone: 338-6997 E-Mail: efc@sfsu.edu
Lecture and Lab: TTH 2:10-4:30, Trailer O-4
Prerequisite: BIOL 458 or an introductory statistics course including ANOVA and Regression
Text: Tabachnick, BG. and L.S. Fidell. 2001. Using Multivariate Statistics. 4th Edition. Harper Collins: NY.
This course is designed to introduce students, with a firm grounding in univariate statistics, to a variety of topics in both univariate and multivariate statistics. Topics will be chosen by the instructor in consultation with the students, but will most likely include Multivariate Analysis of Variance, Discriminant Analysis, Principal Components Analysis, Canonical Correlation Analysis, Logistic Regression, Resampling Statistics, Estimation, Multiway Contingency Tables, Meta- Analysis, and Experimental Design, among others.
Readings will consist of articles from the primary literature or chapters selected from a variety of texts.
Students will select one topic in the statistical analysis of data and work with the instructor to: 1) prepare a bibliography including (instructional references and published examples of the use of a particular method of statistical analysis), 2) obtain data sets for demonstrating statistical software for such data analysis, 3) become familiar with statistical software for such analysis, and 4) prepare a lecture and web page providing instruction about such data analysis. Students will be evaluated based on the thoroughness of their preparation of these materials.