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A Discussion on the Fisher Exact Test

  • J. K. Ghosh
Part of the Lecture Notes in Statistics book series (LNS, volume 45)

Abstract

I begin with a note of dissent. The Fisher-Yates conditional test for the 2 × 2 categorical data is called “exact” not because the test is “based on the theories of R.A. Fisher” but because the computation of the attained level of significance (the P-value) requires no mathematical approximation beyond what is already involved in the choice of the statistical model. The normal test is inexact because the null distribution of the test statistic TN is N(0,1) only as an approximation.

Keywords

Null Hypothesis Likelihood Function Null Distribution Nuisance Parameter Normal Test 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Editor’s Note : This chapter is based on a discussion by Basu on Joseph Berkson’s paper : In dispraise of the exact test,Journal of Statistical Planning and Inference 3, (1979), 189-192.Google Scholar

Copyright information

© Springer-Verlag New York Inc. 1988

Authors and Affiliations

  • J. K. Ghosh
    • 1
  1. 1.Indian Statistical InstituteCalcuttaIndia

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