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Applied Statistics for the Behavioral Sciences

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ISBN-10: 0618124055

ISBN-13: 9780618124053

Edition: 5th 2003

Authors: Dennis E. Hinkle, William Wiersma, Stephen G. Jurs

List price: $239.95
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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.
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Book details

List price: $239.95
Edition: 5th
Copyright year: 2003
Publisher: CENGAGE Learning
Publication date: 10/7/2002
Binding: Hardcover
Pages: 792
Size: 7.75" wide x 9.25" long x 1.25" tall
Weight: 3.212
Language: English

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 (x[superscript 2]) Tests for Frequencies
Other Nonparametric Tests
Data Sets and Computer Exercises
Computational Formulas
Answers to Exercises