Graduate level course prepares the master's student to utilize and interpret statistics for a master's level research project. Students will review descriptive statistics including distributions, introduction to central tendencies, population and sample. Students will focus on inferential statistics, hypothesis testing, confidence intervals, t-tests, one-way ANOVA, and correlation. Introduce PASW/SPSS for data analysis of education or health related data sets. 35-50% of course will focus on application, including reading and understanding health care and education research studies.
Undergraduate statistics course, successful completion of competency test reflecting objectives of undergraduate course, or instructor permission required.