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Spreadsheet calculations of probabilities from the F, t, χ2, and normal distribution

Published:01 November 1986Publication History
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Abstract

By computing probabilities from the normalization of the F distribution (instead of by numerical integration methods), statistical capabilities in spreadsheet operations can be greatly expanded and enhanced.

References

  1. 1 Hastings. C., Jr. Approximations for Digital Computers. Princeton University Press. Princeton, N.J., 1955. Gives a description of the closed function that approximates the corresponding probability of a normalized value. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2 Kelley, T.L. Fundamenfals ofStatistics. Harvard University Press, Cambridge, Mass. 1947. pp. 325-331. Describes the normalization of the F distribution and its correction for small sample sizes.Google ScholarGoogle Scholar
  3. 3 Kendall. MC. The Advanced Theory of Statistics, vol. 2. Charles Griffen. London, 1955. pp. 116-116. Describes the normalization of the F distribution.Google ScholarGoogle Scholar
  4. 4 Smillies. K.W. and Anstey. T.H. A note on the calculation of probabilities in an F distribution. Commun. ACM 7. 12 (Dec. 1964). 725. Connects the normalization of the F distribution with a Hastings approximation. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Spreadsheet calculations of probabilities from the F, t, χ2, and normal distribution

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          Reviews

          Stanley Wertheimer

          In the Conclusion, the authors state, “The difficulty of computing probabilities for the F, t, &khgr; 2, and normal distributions restricts the use of statistics in spreadsheet operations because these probabilities are typically computed from numerical integration methods that require an iterative procedure.” The authors' method normalizes the F distribution which allows probabilities to be computed from a closed formula; the t and &khgr; 2 are likewise converted to an F value, and the previous method is used. The authors claim two-decimal-place accuracy; a little experimentation found no fault with this claim. However, two decimal places are not two significant figures. Thus, where they claim the probability to be 0.05, I found 0.0510 (&khgr; 2), 0.0481 (t), and 0.0497 (F). This work is surely of value to spreadsheet users who need to do these type of statistical calculations.

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          • Published in

            cover image Communications of the ACM
            Communications of the ACM  Volume 29, Issue 11
            Nov. 1986
            79 pages
            ISSN:0001-0782
            EISSN:1557-7317
            DOI:10.1145/7538
            Issue’s Table of Contents

            Copyright © 1986 ACM

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 1 November 1986

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