Introduction to Statistics and Research Design
Academic Credit

Provides basic knowledge in descriptive and inferential statistics, as well as a survey of the basics of research design. Topics covered include graphing of data, percentiles, mean, median, mode, standard deviation, the standard normal distribution, correlation, simple regression, probability, logic of hypothesis testing, z-tests, students' t-ration, one and two sample hypothesis tests, independent and correlated samples hypothesis tests, research design and planning, reliability, instrument validity, internal validity, population generalizability, and a survey of various approaches to research.

Registration Information: If you are a matriculated student, you must register for credit classes using the Campus Information System (CIS). If you are new to the University, you must first submit an application to the Admissions Office, then register using the Campus Information System (CIS).