Abstract
Suppose we are given two sets of data, each of which is a random sample of some RV. We saw in Chap. 12 how the t-test may be applied to these data to decide whether the two RVs have the same mean; see (12.29). In turn, equality implied the same physical cause for the RV’s.
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References
F. Snedecor: Statistical Methods, 5th ed. (Iowa State University Press, Ames 1962)
M. Abramowitz, L.A. Stegun (Eds.): Handbook of Mathematical Functions (National Bureau of Standards, Washington, DC 1964)
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Additional Reading
Brandt, S.: Statistical and Computational Methods in Data Analysis, 2nd rev. ed. (North-Holland, New York 1976)
Breiman, L.: Statistics: With a View Toward Applications (Houghton-Mifflin, Boston 1973)
Kempthorne, O., L. Folks: Probability, Statistics, and Data Analysis (Iowa State University Press, Ames 1971)
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© 2001 Springer-Verlag Berlin Heidelberg
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Frieden, B.R. (2001). The F-Test on Variance. In: Probability, Statistical Optics, and Data Testing. Springer Series in Information Sciences, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56699-8_13
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DOI: https://doi.org/10.1007/978-3-642-56699-8_13
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