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| STAT 43301 - Introduction To Nonparametric Statistics |
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Credit Hours: 3.00. The course acquaints students with rank-based, permutation-based and resampling-based methods of statistical analysis used in widely applicable settings where the data do not follow parametric models. It extends techniques taught in STAT 35000/STAT 51100, where the normal theory is assumed, to situations where the normal theory does not hold. It includes computer projects which use statistical software such as R and SAS. Typically offered Fall.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI Learning Outcomes: 1. Distinguish situations when nonparametric methods apply from those when normal theory methods apply. 2. Become familiar with rank-based, permutation-based and resampling-based methods of statistical analysis that are used in a wide variety of settings. 3. Learn the principles of deriving and/or simulating sampling distributions of test statistic under fewer assumptions. 4. Learn rigorous proofs of a few commonly used nonparametric methods. 5. Learn how to use statistical software such as R and SAS to carry out relevant computations to determine power and sample size. |
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