In this chapter, you learn how to approach and resolve a series of testing problems of increasing complexity, specifically, tests for location and scale parameters in one, two, and k samples. You learn how to derive confidence intervals for the unknown parameters, and you learn to increase the power of your tests by sampling from blocks of similar composition.
KeywordsPermutation Test Location Parameter Original Observation Permutation Distribution Pivotal Quantity
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