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Statistical methods in research / Palmer O. Johnson.

By: Material type: TextTextPublisher: 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 Books Main library A3 311.2 J.P.S. (Browse shelf(Opens below)) Available 00006206

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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