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Essentials of statistics for the behavioral sciences / Frederick J Gravetter; Larry B Wallnau

By: Gravetter, Frederick J.
Contributor(s): Wallnau, Larry B.
Australia : Wadsworth, Cengage Learning, ©2014Edition: 8th ed., International ed.Description: xvi, 631 p. : ill. ; 26 cm.ISBN: 9781285051246.Subject(s): Social sciences -- Statistical methods | Psychology -- Statistical methods | StatisticsDDC classification: 300.0727/G78 Other classification: CAS
Contents:
PART I: INTRODUCTION AND DESCRIPTIVE STATISTICS. 1. Introduction to Statistics. 2. Frequency Distributions. 3. Measures of Central Tendency. 4. Measures of Variability. PART II: FOUNDATIONS OF INFERENTIAL STATISTICS. 5. z-Scores: Location of Scores and Standardized Distributions. 6. Probability. 7. Probability and Samples: The Distribution of Sample Means. 8. Introduction to Hypothesis Testing. PART III: USING t STATISTICS FOR INFERENCES ABOUT POPULATION MEANS AND MEAN DIFFERENCES. 9. Introduction to the t Statistic. 10. The t Test for Two Independent Samples. 11. The t Test for Two Related Samples. PART IV: ANALYSIS OF VARIANCE: TESTS FOR DIFFERENCES AMONG TWO OR MORE POPULATION MEANS. 12. Introduction to Analysis of Variance. 13. Repeated-Measures and Two-Factor Analysis of Variance. PART V: CORRELATIONS AND NONPARAMETRIC TESTS. 14. Correlation and Regression. 15. The Chi-Square Statistic: Tests for Goodness of Fit and Independence.
Summary: This 8th edition gives you straightforward instruction, built-in learning aids, and plenty of real-world examples to help you understand statistical concepts. The authors take time to fully explain statistical procedures so that you can go beyond memorising formulas and begin gaining a conceptual understanding of statistics.
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CAS 300.0727/G78 (Browse shelf) Available 80479

Previous ed.: 2011. Includes bibliographical references and index.

PART I: INTRODUCTION AND DESCRIPTIVE STATISTICS. 1. Introduction to Statistics. 2. Frequency Distributions. 3. Measures of Central Tendency. 4. Measures of Variability. PART II: FOUNDATIONS OF INFERENTIAL STATISTICS. 5. z-Scores: Location of Scores and Standardized Distributions. 6. Probability. 7. Probability and Samples: The Distribution of Sample Means. 8. Introduction to Hypothesis Testing. PART III: USING t STATISTICS FOR INFERENCES ABOUT POPULATION MEANS AND MEAN DIFFERENCES. 9. Introduction to the t Statistic. 10. The t Test for Two Independent Samples. 11. The t Test for Two Related Samples. PART IV: ANALYSIS OF VARIANCE: TESTS FOR DIFFERENCES AMONG TWO OR MORE POPULATION MEANS. 12. Introduction to Analysis of Variance. 13. Repeated-Measures and Two-Factor Analysis of Variance. PART V: CORRELATIONS AND NONPARAMETRIC TESTS. 14. Correlation and Regression. 15. The Chi-Square Statistic: Tests for Goodness of Fit and Independence.

This 8th edition gives you straightforward instruction, built-in learning aids, and plenty of real-world examples to help you understand statistical concepts. The authors take time to fully explain statistical procedures so that you can go beyond memorising formulas and begin gaining a conceptual understanding of statistics.

College of Arts and Sciences

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