Capped at 12 students.
This course is for new graduate students who are at early stages of planning their research projects and collecting data. Topics will include experimental design, matching hypotheses with appropriate statistical analyses, parameter estimation, and graphing. Statistical analyses will be based on a foundation using normal error distribution. Students will be introduced to R, a Language and Environment for Statistical Computing.
