| 000 | 02467nam a22001817a 4500 | ||
|---|---|---|---|
| 999 |
_c74949 _d74949 |
||
| 020 | _a9788131521045 | ||
| 082 |
_a519.5 F 8725 S _b103600 |
||
| 100 | _aFrederick J Gravetter | ||
| 245 | _aStatistics for the Behavioral Sciences | ||
| 250 | _a9th ed | ||
| 260 |
_aNew Delhi _bCentage Learning |
||
| 300 | _a767 | ||
| 500 | _a'This field-leading introduction to statistics for the behavioral and social sciences text continues to offer straightforward instruction, accuracy, built-in learning aids, and real-world examples. The goals of STATISTICS FOR THE BEHAVIORAL SCIENCES, 9th Edition are to teach the methods of statistics and convey the basic principles of objectivity and logic that are essential for science- and valuable in everyday life. Authors Frederick Gravetter and Larry Wallnau help students understand statistical procedures through a conceptual context that explains why the procedures were developed and when they should be used. Students have numerous opportunities to practice statistical techniques through learning checks, examples, step-by-step demonstrations, and problems. Aplia&trade, an assignable, gradeable online homework solution, joins an already-robust set of available book resources that includes PowerLecture&trade, WebTutor&trade, an Instructor's Manual/TestBank, and more. | ||
| 505 | _a' Part I: INTRODUCTION AND DESCRIPTIVE STATISTICS. 1. Introduction to Statistics. 2. Frequency Distributions. 3. Central Tendency. 4. 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 Analysis of Variance (ANOVA) 14. Two-Factor Analysis of Variance (Independent Measures). Part V: CORRELATIONS AND NON-PARAMETRIC TESTS. 15. Correlation. 16. Introduction to Regression. 17. The Chi-Square Statistic: Tests for Goodness of Fit and Independence. 18. The Binomial Test. 19. Choosing the Right Statistics. ? | ||
| 650 | _aStatistics | ||
| 700 | _aLarry B Wallnau | ||
| 942 | _cBK | ||