Non-theoretical instruction in procedures, analyses, and interpretation of quantitative and qualitative statistical methods. Topics studied include the normal distribution, confidence intervals, one and two sample hypothesis tests, correlation and regression, one and two way analysis of variance, chi-square and contingency tables, non-parametric methods, introduction to multiple regression, basics of experimental design, sampling procedures, collection of data, interpretation and reporting of results. Statistical software will be utilized. This course serves those considering a graduate program in which statistical methods are used. Prerequisite: Mathematics 200 with a “C” or better. (Offered in Spring Semester.) Credit, 3 hours.