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- Title
Alphas, betas and skewy distributions: two ways of getting the wrong answer.
- Authors
Fayers, Peter
- Abstract
lthough many parametric statistical tests are considered to be robust, as recently shown in Methodologist's Corner, it still pays to be circumspect about the assumptions underlying statistical tests. In this paper I show that robustness mainly refers to α, the type-I error. If the underlying distribution of data is ignored there can be a major penalty in terms of the β, the type-II error, representing a large increase in false negative rate or, equivalently, a severe loss of power of the test.
- Subjects
ROBUST statistics; EQUIVALENCY tests; MEDICAL science education; MEDICAL education; EXAMINATIONS
- Publication
Advances in Health Sciences Education, 2011, Vol 16, Issue 3, p291
- ISSN
1382-4996
- Publication type
Article
- DOI
10.1007/s10459-011-9283-6