This course is intended as a second course in applied statistics. We will attempt to cover at least the following topics: 1. Design and Analysis of Experiments (including t-tests, ANOVA, and concepts in the design of factorial experiments) 2. Analysis of Discrete (Count) Data (binary and categorical data, including chi-square test and logistic regression; Poisson distribution). In the practice of modern statistics, calculations are almost always done using specialized computer software rather than hand calculators. Formulas are important more as a means of expressing ideas rather than as a means of hand computation. Therefore, in this course we will usually emphasize interpretation and computer use more than hand calculation. However, some hand computation will be required also.