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| Full Title | Statistical Methods for Psychology 8th Edition |
|---|---|
| Author(s) | David C. Howell |
| Edition | 8th Edition |
| ISBN | 9781133713272, 9781133881926, 9780357670996, 9781133471523, 9781111835484 |
| Publisher | Cengage Learning |
| Format | PDF and EPUB |
STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, particularly psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasizes conceptual understanding. This Eighth Edition continues to focus students on two key themes that are the cornerstones of this book’s success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment. New and expanded topics–reflecting the evolving realm of statistical methods–include effect size, meta-analysis, and treatment of missing data.
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Original price was: $86.49.$19.99Current price is: $19.99.
Access Statistical Methods for Psychology 8th Edition Textbook now. The book is Available Online and can be Downloaded Immediately to any kind of devices.
| Full Title | Statistical Methods for Psychology 8th Edition |
|---|---|
| Author(s) | David Howell |
| Edition | 8th Edition |
| ISBN-13 | 9781111835484 |
| Publisher | Cengage Learning |
| Format | |
| Pages | 792 |
STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasize conceptual understanding. Along with significantly updated discussions of effect size and meta-analysis, this Eighth Edition continues to focus on two key themes that are the cornerstones of this book’s success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment.
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