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Stats & Probability for Behavioral/Social Sciences Textbooks

by Frederick J. Gravetter and Larry B. Wallnau

Edition: 5TH 05Copyright: 2005

Publisher: Wadsworth, Inc

Published: 2005

International: No

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This brief version of Gravetter and Wallnau's proven best-seller offers the straightforward instruction, accuracy, built-in learning aids, and wealth of real-world examples that professors AND students have come to appreciate. The authors take time to explain statistical procedures so that students can go beyond memorizing formulas and gain a conceptual understanding of statistics. By integrating applications to ensure that even students with a weak background in mathematics can understand statistics, the authors skillfully demonstrate that having an understanding of statistical procedures help them comprehend published findings, and become savvy consumers of information. Known for its exceptional accuracy and examples, this text also has a complete supplements package to support instructors with class preparation and testing.

1. Introduction to Statistics.

2. Frequency Distributions.

3. Central Tendency.

4. Variability.

5. Z-Scores: Location of Scores and Standard Distributions.

6. Probability.

7. Probability and Samples: The Distribution of Sample Means.

8. Introduction to Hypothesis Testing.

9. Introduction to the t Statistic.

10. The t test for Two Independent Samples.

11. The t test for Two Related Samples.

12. Estimation.

13. Introduction to Analysis of Variance.

14. More Advanced Analysis of Variance: Repeated-Measures and Two-Factor Designs.

15. Correlation and Regression.

16. The Chi-Square Statistic: Tests for Goodness of Fit and Independence.

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Summary

This brief version of Gravetter and Wallnau's proven best-seller offers the straightforward instruction, accuracy, built-in learning aids, and wealth of real-world examples that professors AND students have come to appreciate. The authors take time to explain statistical procedures so that students can go beyond memorizing formulas and gain a conceptual understanding of statistics. By integrating applications to ensure that even students with a weak background in mathematics can understand statistics, the authors skillfully demonstrate that having an understanding of statistical procedures help them comprehend published findings, and become savvy consumers of information. Known for its exceptional accuracy and examples, this text also has a complete supplements package to support instructors with class preparation and testing.

Table of Contents

1. Introduction to Statistics.

2. Frequency Distributions.

3. Central Tendency.

4. Variability.

5. Z-Scores: Location of Scores and Standard Distributions.

6. Probability.

7. Probability and Samples: The Distribution of Sample Means.

8. Introduction to Hypothesis Testing.

9. Introduction to the t Statistic.

10. The t test for Two Independent Samples.

11. The t test for Two Related Samples.

12. Estimation.

13. Introduction to Analysis of Variance.

14. More Advanced Analysis of Variance: Repeated-Measures and Two-Factor Designs.

15. Correlation and Regression.

16. The Chi-Square Statistic: Tests for Goodness of Fit and Independence.

Publisher Info

Publisher: Wadsworth, Inc

Published: 2005

International: No

Published: 2005

International: No

2. Frequency Distributions.

3. Central Tendency.

4. Variability.

5. Z-Scores: Location of Scores and Standard Distributions.

6. Probability.

7. Probability and Samples: The Distribution of Sample Means.

8. Introduction to Hypothesis Testing.

9. Introduction to the t Statistic.

10. The t test for Two Independent Samples.

11. The t test for Two Related Samples.

12. Estimation.

13. Introduction to Analysis of Variance.

14. More Advanced Analysis of Variance: Repeated-Measures and Two-Factor Designs.

15. Correlation and Regression.

16. The Chi-Square Statistic: Tests for Goodness of Fit and Independence.