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Significance Tests in Discrete Distributions
H. O. Lancaster
Journal of the American Statistical Association
Vol. 56, No. 294 (Jun., 1961), pp. 223-234
Stable URL: http://www.jstor.org/stable/2282247
Page Count: 12
You can always find the topics here!Topics: Statistical median, Binomials, Probabilities, Significance level, Approximation, Random variables, Statistics, Null hypothesis, Proportions, Random sampling
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In discrete distributions, it has often been recommended that an auxiliary random experiment should be carried out so as to make the size of the test equal to the significance level. In certain experimental situations, this procedure would be time-consuming and even embarrassing to the statistician. An alternative criterion of significance is suggested, the mid or median probability. To avoid computations P(χ), the probability of the square root of a chi-square variable, can be used in the binomial, Poisson and hypergeometric distributions as an approximation to the mid probability. In statistical control of counting experiments or where experiments are being repeated P(χ) rather than P(χc), the probability of χ corrected for continuity, gives acceptable approximations to size of significance levels. Some computations are given for the multinominal distribution which show that here P(χ2) gives acceptable approximations.
Journal of the American Statistical Association © 1961 American Statistical Association