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Applied Statistics for the Behavioral Sciences,9780618124053
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Applied Statistics for the Behavioral Sciences



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Pub. Date:
Wadsworth Publishing
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This is the 5th edition with a publication date of 10/7/2002.

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  • Workbook for Hinkle/Wiersma/Jurs' Applied Statistics for the Behavioral Sciences, 5th
    Workbook for Hinkle/Wiersma/Jurs' Applied Statistics for the Behavioral Sciences, 5th


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

Prefacep. xvi
Introductionp. 1
Organizing and Graphing Datap. 17
Describing Distributions: Individual Scores, Central Tendency, and Variationp. 45
The Normal Distributionp. 80
Correlation: A Measure of Relationshipp. 95
Linear Regression: Predictionp. 121
Sampling, Probability, and Sampling Distributionsp. 141
Hypothesis Testing: One-Sample Case for the Meanp. 174
Estimation: One-Sample Case for the Meanp. 201
Hypothesis Testing: One-Sample Case for Other Statisticsp. 213
Hypothesis Testing: Two-Sample Case for the Meanp. 235
Hypothesis Testing: Two-Sample Case for Other Statisticsp. 276
Determining Power and Sample Sizep. 297
Hypothesis Testing, K-Sample Case: Analysis of Variance, One-Way Classificationp. 331
Multiple-Comparison Proceduresp. 370
Analysis of Variance, Two-Way Classificationp. 400
Linear Regression: Estimation and Hypothesis Testingp. 443
Multiple Linear Regressionp. 461
Analysis of Covariancep. 496
Other Correlation Coefficientsp. 521
Chi-Square (x[superscript 2]) Tests for Frequenciesp. 546
Other Nonparametric Testsp. 572
Data Sets and Computer Exercisesp. 587
Computational Formulasp. 623
Tablesp. 633
Answers to Exercisesp. 662
Glossaryp. 733
Bibliographyp. 742
Indexp. 746
Table of Contents provided by Ingram. All Rights Reserved.

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