Statistical Methods

This introductory statistics course focuses on several topics: population and samples; data organization and representation; measures of central tendency, variation, and position; basic probability and probability distribution; normal distribution; confidence interval; hypothesis testing of one population: z-test and t-test; type I and type II errors; linear regression; and non-parametric statistics. Statistics applications are drawn from several disciplines such as sociology, business, economics, ecology, health science, and psychology. This course uses a graphing calculator and computer statistical software.