Dr. J. Lapidus, CSB 669, ext. A broad range of topics in estimation and hypothesis testing will be covered. It will start with a review of descriptive statistics and introductory probability, then explore probability and sampling distributions, central limit theorem, and confidence intervals. These topics will be followed by basic hypothesis testing framework, along with the appropriate power and sample size considerations. Large-sample hypothesis tests for means, proportions and variances, will be covered as well as exploration of some exact tests.
Most homework assignments are to be completed using statistical software.
An introduction to advanced statistical tests in scientific research. An in-depth introduction to the principles of animal learning and behavior. Emphasis is on methodological and theoretical issues associated with fundamental learning phenomena in both classical and instrumental conditioning. A. Ryabinin, ext. Each seminar will consist of two parts.