An edition of Applied statistics for the behavioral sciences
(1979)
Applied statistics for the behavioral sciences
5th ed.
by Dennis E. Hinkle, William Wiersma, and Stephen G. Jurs
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Applied Statistics for the Behavioral Sciences, Fifth Edition, gives you a conceptual understanding of the basic statistical procedures used in behavioral sciences, as well as the computational skills to carry them out. This text uses a clear presentation, accessible language, and step-by-step examples to help you develop a solid understanding of statistics. - Back cover.
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Applied statistics for the behavioral sciences
2003, Wadsworth Cengage Learning
Hardcover
in English
- 5th ed.
0618124055 9780618124053
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Applied statistics for the behavioral sciences
1998, Houghton Mifflin
in English
- 4th ed.
0395874114 9780395874110
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Applied statistics for the behavioral sciences
1994, Houghton Mifflin
in English
- 3rd ed.
0395675553 9780395675557
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Applied statistics for the behavioral sciences
1988, Houghton Mifflin, Houghton Mifflin School
in English
- 2nd ed.
0395369118 9780395369111
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Applied statistics for the behavioral sciences
1979, Houghton Mifflin
in English
0395308100 9780395308103
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Applied statistics for the behavioral sciences
1979, Rand McNally
in English
0528620355 9780528620355
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Book Details
Published in
Belmont, CA
Table of Contents
Introduction
Organizing and graphing data
Describing distributions : individual scores, central tendency, and variation
The normal distribution
Correlation : a measure of relationship
Linear regression : prediction
Sampling, probability, and sampling distributions
Hypothesis testing : one-sample case for the mean
Estimation : one-sample case for the mean
Hypothesis testing : one-sample case for other statistics
Hypothesis testing : two-sample case for the mean
Hypothesis testing : two-sample case for other statistics
Determining power and sample size
Hypothesis testing, K-sample case : analysis of variance, one-way classification
Multiple-comparison procedures
Analysis of variance, two-way classification
Linear regression : estimation and hypothesis testing
Multiple linear regression
Analysis of covariance
Other correlation coefficients
Chi-square (X²) tests for frequencies
Other nonparametric tests
Appendixes. Data sets and computer exercises
Computational examples
Tables
Answers to exercises
Glossary
Edition Notes
Previous ed.: 1998.
Includes bibliographical references and index.
Classifications
The Physical Object
ID Numbers
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