Abstract
R.A. Fisher’s classic text on the design of experiments is the principal source of inspiration for a mode of data interpretation that is usually characterized as randomization analysis. In Chapter III of this text, Fisher briefly commented on how to make a randomization test on some data generated by a Darwin experiment. Two variants of this randomization test are discussed in this article. The variant that is discussed in Section 4 may be regarded as the forerunner of all nonparametric tests. The original variant of the test is discussed in Section 6. The author concludes that the Fisher randomization test is not logically viable.
* D. Basu is Professor, Department of Statistics, Florida State University, Tallahassee, FL 32306. This article is based on an invited talk given at the SREB Summer Research Conference in Statistics at Arkadelphia, Arkansas, on June 15, 1978. This research was supported by National Science Foundation Grant MCS 79–04693.
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Basu*, D. (2011). Randomization Analysis of Experimental Data: The Fisher Randomization Test. In: DasGupta, A. (eds) Selected Works of Debabrata Basu. Selected Works in Probability and Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-5825-9_28
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