Abstract
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.
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© 2000 Springer Science+Business Media New York
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Good, P. (2000). Testing Hypotheses. In: Permutation Tests. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3235-1_3
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DOI: https://doi.org/10.1007/978-1-4757-3235-1_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-3237-5
Online ISBN: 978-1-4757-3235-1
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