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STAT 50200 - Experimental Statistics II |
Credit Hours: 3.00. Regression with several explanatory variables. Regression diagnostics. Analysis of variance for factorial designs. Multiple comparisons. Analysis of covariance. Repeated measures designs. Extensive use of the SAS statistical software. Intended primarily for students who have not had calculus. Not open to students in mathematical sciences or engineering. Typically offered Summer Spring.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture, Practice Study Observation Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: Northwest- Hammond West Lafayette Learning Outcomes: 1. Produce and identify advanced statistical analyses. 2. Learn and understand advanced statistical terminology and concepts. 3. Use SAS to run advanced statistical analyses and interpret corresponding SAS output. |