Applied Statistics for the Behavioral Sciences

by Hinkle, Dennis E.; Wiersma, William; Jurs, Stephen G.

• ISBN13: 9780618124053
• ISBN10: 0618124055
• Edition: 5th
• Format: Hardcover
• Copyright: 2002-10-07
• Publisher: Cengage Learning

Summary

This introductory text provides students with a conceptual understanding of basic statistical procedures, as well as the computational skills needed to complete them. The clear presentation, accessible language, and step-by-step instruction make it easy for students from a variety of social science disciplines to grasp the material. The scenarios presented in chapter exercises span the curriculum, from political science to marketing, so that students make a connection between their own area of interest and the study of statistics. Unique coverage focuses on concepts critical to understanding current statistical research such as power and sample size, multiple comparison tests, multiple regression, and analysis of covariance. Additional SPSS coverage throughout the text includes computer printouts and expanded discussion of their contents in interpreting the results of sample exercises.

Author Biography

Dennis E. Hinkle: Towson University William Wiersma: University of Toledo Stephen G. Jurs: University of Toledo

Table of Contents

Preface	p. xvi
Introduction	p. 1
Organizing and Graphing Data	p. 17
Describing Distributions: Individual Scores, Central Tendency, and Variation	p. 45
The Normal Distribution	p. 80
Correlation: A Measure of Relationship	p. 95
Linear Regression: Prediction	p. 121
Sampling, Probability, and Sampling Distributions	p. 141
Hypothesis Testing: One-Sample Case for the Mean	p. 174
Estimation: One-Sample Case for the Mean	p. 201
Hypothesis Testing: One-Sample Case for Other Statistics	p. 213
Hypothesis Testing: Two-Sample Case for the Mean	p. 235
Hypothesis Testing: Two-Sample Case for Other Statistics	p. 276
Determining Power and Sample Size	p. 297
Hypothesis Testing, K-Sample Case: Analysis of Variance, One-Way Classification	p. 331
Multiple-Comparison Procedures	p. 370
Analysis of Variance, Two-Way Classification	p. 400
Linear Regression: Estimation and Hypothesis Testing	p. 443
Multiple Linear Regression	p. 461
Analysis of Covariance	p. 496
Other Correlation Coefficients	p. 521
Chi-Square (x[superscript 2]) Tests for Frequencies	p. 546
Other Nonparametric Tests	p. 572
Data Sets and Computer Exercises	p. 587
Computational Formulas	p. 623
Tables	p. 633
Answers to Exercises	p. 662
Glossary	p. 733
Bibliography	p. 742
Index	p. 746
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