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Abstract

The current model for the application of parametric statistics involves only the population sampled, and probability statements refer to proportions of samples or proportions of decisions based upon samples. Most statistical textbooks, however, contain concepts that go beyond the explicitly proposed model. The rudiments of an appropriate, expanded model are presented. It is suggested that the expanded model is more adequate, general, and realistic than the classical model.

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References

Guilford

J. P.

Fruchter

Fundamental statistics in psychology and education. (5th ed.) New York: McGraw-Hill, 1973.

Hand

McCarter

R. E.

Two sources of univariate confidence intervals. Psychol. Rep., 1975, 37, 167–169.

Hays

W. L.

Statistics for psychologists. New York: Holt, Rinehart & Winston, 1969.

Miller

R. G.

Simultaneous statistical inference. New York: McGraw-Hill, 1966.

Morrison

D. F.

Multivariate statistical methods. New York: McGraw-Hill, 1967.

Spence

J. T.

Underwood

B. J.

Duncan

C. P.

Cotton

J. W.

Elementary statistics. (2nd ed.) New York: Appleton-Century-Crofts, 1968.

Walker

H. M.

Lev

Elementary statistical methods. (3rd ed.) New York: Holt, Rinehart & Winston, 1969.

An Expanded Model for the Application of Parametric Statistics

Abstract

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References