Applied statistics for the behavioral sciences - Info and Reading Options
By Dennis E. Hinkle, William Wiersma and Stephen G. Jurs

"Applied statistics for the behavioral sciences" was published by Wadsworth Cengage Learning in 2003 - Belmont, CA, it has 756 pages and the language of the book is English.
“Applied statistics for the behavioral sciences” Metadata:
- Title: ➤ Applied statistics for the behavioral sciences
- Authors: Dennis E. HinkleWilliam WiersmaStephen G. Jurs
- Language: English
- Number of Pages: 756
- Publisher: Wadsworth Cengage Learning
- Publish Date: 2003
- Publish Location: Belmont, CA
“Applied statistics for the behavioral sciences” Subjects and Themes:
- Subjects: ➤ Statistical methods - Statistics - Social sciences - Methodes statistiques - Sciences sociales - Statistique - Sociometric Techniques - Methods - Méthodes statistiques - Behavioral Sciences - Statistiek - Gedragswetenschappen
Edition Specifications:
- Format: Hardcover
- Dimensions: 24 x x centimeters
- Pagination: xxi, 756 p.
Edition Identifiers:
- The Open Library ID: OL20715584M - OL2768682W
- Online Computer Library Center (OCLC) ID: 50716608
- Library of Congress Control Number (LCCN): 2001131503
- ISBN-13: 9780618124053
- ISBN-10: 0618124055
- All ISBNs: 0618124055 - 9780618124053
AI-generated Review of “Applied statistics for the behavioral sciences”:
"Applied statistics for the behavioral sciences" Table Of Contents:
- 1- Introduction
- 2- Organizing and graphing data
- 3- Describing distributions : individual scores, central tendency, and variation
- 4- The normal distribution
- 5- Correlation : a measure of relationship
- 6- Linear regression : prediction
- 7- Sampling, probability, and sampling distributions
- 8- Hypothesis testing : one-sample case for the mean
- 9- Estimation : one-sample case for the mean
- 10- Hypothesis testing : one-sample case for other statistics
- 11- Hypothesis testing : two-sample case for the mean
- 12- Hypothesis testing : two-sample case for other statistics
- 13- Determining power and sample size
- 14- Hypothesis testing, K-sample case : analysis of variance, one-way classification
- 15- Multiple-comparison procedures
- 16- Analysis of variance, two-way classification
- 17- Linear regression : estimation and hypothesis testing
- 18- Multiple linear regression
- 19- Analysis of covariance
- 20- Other correlation coefficients
- 21- Chi-square (X²) tests for frequencies
- 22- Other nonparametric tests
- 23- Appendixes. Data sets and computer exercises
- 24- Computational examples
- 25- Tables
- 26- Answers to exercises
- 27- Glossary
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