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    Applied Statistics for the Behavioral Sciences

    ISBN-10: 0618124055
    ISBN-13: 9780618124053
    Author(s): Dennis E. Hinkle, William Wiersma, Stephen G. Jurs
    Description: 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  More...
    List price: $272.95
    Buy it from: $143.55
    Rent it from: $20.70
    This item will ship on Monday, November 24 .

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    List Price: $272.95
    Edition: 5th
    Publisher: CENGAGE Learning
    Binding: Hardcover
    Pages: 784
    Size: 7.75" wide x 9.25" long x 1.25" tall
    Weight: 2.838
    Language: English

    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.

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

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