Bias and runs in dice throwing and recording: A few million throws
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An experimenter threw individually 219 different dice of four different brands and recorded even and odd outcomes for one block of 20,000 trials for each die—4,380,000 throws in all. The resulting data on runs offer a basis for comparing the observed properties of such a physical randomizing process with theory and with simulations based on pseudo-random numbers and RAND Corporation random numbers. Although generally the results are close to those forecast by theory, some notable exceptions raise questions about the surprise value that should be associated with occurrences two standard deviations from the mean. These data suggest that the usual significance level may well actually be running from 7 to 15 percent instead of the theoretical 5 percent.
The data base is the largest of its kind. A set generated by one brand of dice contains 2,000,000 bits and is the first handmade empirical data of such size to fail to show a significant departure from ideal theory in either location or scale.
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- Anderson, T. W.An introduction to multivariate statistical analysis. New York: Wiley, 1958.Google Scholar
- Bartlett, M. S. Tests of significance in factor analysis.British Journal of Psychology, Stat. Sec., 1950, 3, 77–85.Google Scholar
- Feller, W.An introduction to probability theory and its applications, Vol. I, Third edition. New York: Wiley, 1968.Google Scholar
- Fry, T. C.Probability and its engineering uses, Second edition. Princeton, New Jersey: Van Nostrand, 1965. pp. 312–316.Google Scholar
- Kerrich, J. E.An experimental introduction to the theory of probability. Copenhagen: Belgisk Import Co., 1946.Google Scholar
- Kullback, S.Information theory and statistics. New York: Wiley, 1959. p. 302.Google Scholar
- Mood, A. M. The distribution theory of runs.Annals of Mathematical Statistics, 1940,11, 367–392.Google Scholar
- Mosteller, F., Youtz, C. & Zahn, D. The distribution of sums of rounded percentages.Demography, 1967,4, 850–858.Google Scholar
- Owen, D. B.Handbook of statistical tables. Reading, Mass.: Addison-Wesley, 1962.Google Scholar
- The RAND Corporation.A million random digits with 100,000 normal deviates. Glencoe, Illinois: Free Press, 1955.Google Scholar