Introduction to Statistics for Reproductive Sciences

2 units

Instructors will introduce students to foundational statistical concepts (types of data, hypothesis testing, experimental design, etc.) and facilitate practical discussion of common statistical analyses performed in reproductive sciences-focused studies. The course is designed to balance concepts, approaches, and challenges associated with both basic & translational (lab-based) research and clinical studies. Students will practice analyzing realistic data sets, get instructor feedback on their data analyses, and assess the appropriateness of statistical analyses performed in published research studies. Assignments will be performed in field-preferred software including GraphPad Prism, SPSS, and R. Students do not need previous experience with these software packages to take the course. The final grade for the course will be based on attendance, participation, homework assignments, and a final report.