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 begin gaining a conceptual understanding of statistics. By integrating applications that reinforce concepts 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 helps students comprehend published findings, and become savvy consumers of information.
Table of Contents
Part I: INTRODUCTION AND DESCRIPTIVE STATISTICS. 1. Introduction to Statistics. 2. Frequency Distributions. 3. Central Tendency. 4. Variability. Part I Review. Part II: FOUNDATIONS OF INFERENTIAL STATISTICS. 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. Part II Review. 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. 12. Estimation. Part III Review. Part IV: ANALYSIS OF VARIANCE: TESTS FOR DIFFERENCES AMONG TWO OR MORE POPULATION MEANS. 13. Introduction to Analysis of Variance. 14. Repeated-Measures and Two-Factor Analysis of Variance. Part IV Review. Part V: CORRELATIONS AND NON-PARAMETRIC TESTS. 15. Correlation and Regression. 16. The Chi-Square Statistic: Tests for Goodness of Fit and Independence. Part V Review. Appendix A: Basic Mathematics Review. Appendix B: Statistical Tables. Appendix C: Solutions for Odd-Numbered Problems in the Text. Appendix D: General Instructions for Using SPSS.