Statistical Methods for Psychology
Analyzing data before testing hypothesis; Understanding purpose.
Analyzing data before testing hypothesis; Understanding purpose.
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Analyzing data before testing hypothesis; Understanding purpose.
"Statistical Methods for Psychology" focuses on the importance of analyzing data before testing a hypothesis, emphasizing the relationship between the statistical test used and the theoretical questions being asked. The book provides real-world examples to help students understand the purpose behind experiments and the predictions made by theory. Recommended for intermediate level students and above with no prior statistics or advanced math background.
The item you've got your eye on is secondhand. You probably already know that, but just in case!
The estimated retail price shown next to any listed item represents the first-hand prices we've seen elsewhere, or the estimated original retail price of a comparable item of the same quality, construction and material offered elsewhere in new condition.
STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. This book has two underlying themes that are more or less independent of the statistical hypothesis tests that are the main content of the book. The first theme is the importance of looking at the data before formulating a hypothesis. With this in mind, the author discusses, in detail, plotting data, looking for outliers, and checking assumptions (Graphical displays are used extensively). The second theme is the importance of the relationship between the statistical test to be employed and the theoretical questions being posed by the experiment. To emphasize this relationship, the author uses real examples to help the student understand the purpose behind the experiment and the predictions made by the theory. Although this book is designed for students at the intermediate level or above, it does not assume that students have had either a previous course in statistics or a course in math beyond high-school algebra.
This book may contain very minor cosmetic defects, but it is in pristine condition. There should be no yellowing, no foxing, no water damage, and no annotations of any kind on the cover and the pages. For paperbacks, there should not be any crease marks on the spine. This book is good as new — lucky you!
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This book has been used, but it is still in a clean condition. There should be no foxing or annotations of any kind on the inner pages, but a sparse amount may be present on the cover, title pages, or outside edges of the book. There should be no water damage of any kind. For paperbacks, there may be light crease marks on the spine.
*Books may be missing bundle media (e.g. CD, e-book code), if included.
We do our best to ensure the quality of our books, but there is no escaping the wear and tear that comes with time. Slight foxing and some annotations may be present on the pages and the cover. There should be no water damage of any kind. For paperbacks, there may be several crease marks on the spine.
*Books may be missing bundle media (e.g. CD, e-book code), if included.
This is a well-read book, which means that the previous owner probably really enjoyed it! The cover and pages may include moderate foxing and annotations, but the text is not obscured and still readable. Moderate cosmetic defects and minor water damage may be present on the edges of the book. For paperbacks, there may be multiple crease marks on the spine.
*Books may be missing bundle media (e.g. CD, e-book code), if included.
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Analyzing data before testing hypothesis; Understanding purpose.
"Statistical Methods for Psychology" focuses on the importance of analyzing data before testing a hypothesis, emphasizing the relationship between the statistical test used and the theoretical questions being asked. The book provides real-world examples to help students understand the purpose behind experiments and the predictions made by theory. Recommended for intermediate level students and above with no prior statistics or advanced math background.
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