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| STAT 43301 - Introduction To Nonparametric Statistics |
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Associated Term:
Fall 2015
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. Required Materials: Technical Requirements: |
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