One-Sample Tests
Kenneth J. Berry (),
Kenneth L. Kvamme,
Janis E. Johnston and
Paul W. Mielke, Jr.
Additional contact information
Kenneth J. Berry: Colorado State University, Department of Sociology
Kenneth L. Kvamme: University of Arkansas, Department of Anthropology
Paul W. Mielke, Jr.: Deceased
Chapter Chapter 5 in Permutation Statistical Methods with R, 2021, pp 155-221 from Springer
Abstract:
Abstract This chapter introduces conventional and permutation methods for one-sample tests. Included in this chapter are example analyses illustrating computation of exact permutation probability values for one-sample tests, calculation of measures of effect size for one-sample tests, exact and Monte Carlo permutation procedures for one-sample tests, and application of permutation methods to one-sample rank-score data. Also included in the chapter are permutation versions of Student’s one-sample t test, Wilcoxon’s signed-ranks test, and a permutation-based alternative for the two conventional measures of effect size for one-sample tests: Cohen’s $$\hat{d}$$ d ^ and Pearson’s $$r^{2}$$ r 2 .
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-74361-1_5
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DOI: 10.1007/978-3-030-74361-1_5
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