BIOL 483 Lecture Summaries
Bear in mind that these files should be taken as guidelines for review and study.  They are in no way a comprehensive presentation of the range of information for which you are responsible.  Nevertheless, they may help you sort through the information in your notes and give you a perspective about which details are important vs. incidental.

Nature and Vocabulary of Statistical Analysis
Data, Probability and Sampling Distributions
Hypothesis Testing, Type I and Type II Errors
Matrix Operations

Normality Testing and Data Transformations
Correlation Analysis
Multiple Regression Analysis
Analysis of Variance
Analysis of Covariance

Principal Components Analysis
Factor Analysis
Canonical Discriminant Analysis

Cluster Analysis
Matrix Correlation

Canonical Correlation Analysis