Introductory Statistics for the Behavioral Sciences, 6th Edition

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Format: eBook
Pub. Date: 2010-06-01
Publisher(s): Wiley
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Summary

A comprehensive and user-friendly introduction to statistics-now revised and updated Introductory Statistics for the Behavioral Sciences has had a long and successful history and is a popular and well-respected statistics text. Now in its sixth edition, the text has been thoroughly revised to present all the topics students in the behavioral sciences need in a uniquely accessible format that aids in the comprehension and implementation of the statistical analyses most commonly used in the behavioral sciences. Using a continuous narrative that explains statistics and tracks a common data set throughout, the authors have developed an innovative approach that makes the material unintimidating and memorable, providing a framework that connects all of the topics in the text and allows for easy comparison of different statistical analyses. New features in this Sixth Edition include: * Different aspects of a common data set are used to illustrate the various statistical methods throughout the text, with an emphasis on drawing connections between seemingly disparate statistical procedures and formulas * Computer exercises based on the same large data set and relevant to that chapter's content. The data set can be analyzed by any available statistical software * New "Bridge to SPSS" sections at the end of each chapter explain, for those using this very popular statistical package, how to perform that chapter's statistical procedures by computer, and how to translate the output from SPSS * New chapters on multiple comparisons and repeated-measures ANOVA

Table of Contents

Preface
Acknowledgments
Glossary of Symbols
Descriptive Statistics
Introduction
Frequency Distributions and Graphs
Transformed Scores I: Percentiles
Measures of Central Tendency
Measures of Variability
Additional Techniques for Describing Batches of Data
Transformed Scores II: z and T Scores
The Normal Distribution
Basic Inferential Stastics
Introduction to Statistical Inference
The One-Sample t Test and Interval Estimation
Testing Hypotheses about the Difference between the Means of Two Populations
Linear Correlation and Prediction
The Connection between Correlation and the t Test
Introduction to Power Analysis
Analysis of Variance Methods
One-Way Analysis of Variance
Multiple Comparisons
Introduction to Factorial Design: Two-Way Analysis of Variance
Repeated-Measures ANOVA
Nonparametric Statistics
Introduction to Probability and Nonparametric Methods
Chi Square Tests
Tests for Ordinal Data
Appendix
Glossary of Terms
References
Index
Table of Contents provided by Publisher. All Rights Reserved.

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