Statistical methods in research / Palmer O. Johnson.

By:

Johnson, Palmer O. (Palmer Oliver), 1891- [author.]

Material type: Text

TextPublisher: New York : Prentice-Hall, 1949Description: xvi, 377 pages : diagrs ; 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

311.2 21 J.P.S.

Summary: The book is based on the content of a year's course in statistics,… primarily for graduate students in education and in psychology." Elementary statistical training is assumed and a knowledge of calculus is essential to a few sections. "The author's primary aim is to supply students with a book that is built on the recent advances in statistical theory and practice." Chapter headings include: Probability and likelihood, Sampling distributions, The testing of statistical hypotheses, The estimation of population parameters, Normal and normalized distributions… , Statistical analysis of data under non-normal assumptions, Sampling theory and practice, Analysis of variance and covariance, The principles of experimentation, and Multiple regression problems. Special subjects treated are the L-test for homogeneity of variance, normalizing transformations, the method of paired comparisons, and discriminant functions.

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Item type	Current library	Call number	Status	Date due	Barcode
Books	Main library A3	311.2 J.P.S. (Browse shelf(Opens below))	Available		00006206

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Includes bibliographical references and index.

The book is based on the content of a year's course in statistics,… primarily for graduate students in education and in psychology." Elementary statistical training is assumed and a knowledge of calculus is essential to a few sections. "The author's primary aim is to supply students with a book that is built on the recent advances in statistical theory and practice." Chapter headings include: Probability and likelihood, Sampling distributions, The testing of statistical hypotheses, The estimation of population parameters, Normal and normalized distributions… , Statistical analysis of data under non-normal assumptions, Sampling theory and practice, Analysis of variance and covariance, The principles of experimentation, and Multiple regression problems. Special subjects treated are the L-test for homogeneity of variance, normalizing transformations, the method of paired comparisons, and discriminant functions.

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