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| Full Title | Statistical Methods for the Social Sciences 5th Edition |
|---|---|
| Author(s) | Alan Agresti |
| Edition | 5th Edition |
| ISBN | 9780134512822, 9780134507101, 9780134682198, 9781292220345, 9780137546060 |
| Publisher | Pearson |
| Format | PDF and EPUB |
Ideal for social science majors, Statistical Methods for the Social Sciences applies statistical methods to the social sciences and makes methods more accessible with an emphasis on concepts. It highlights applications throughout, assuming no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a 2-semester course. The 5th Edition uses examples and exercises with a variety of real data. It includes more illustrations of statistical software for computations and takes advantage of the outstanding applets to explain key concepts, such as sampling distributions and conducting basic data analyses. It continues to downplay mathematics while avoiding an overly simplistic, recipe-based approach to statistics.
Original price was: $94.99.$19.99Current price is: $19.99.
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| Full Title | Statistical Methods for the Social Sciences 5th Edition |
|---|---|
| Author(s) | Alan Agresti |
| Edition | 5th Edition |
| ISBN-13 | 9780134507101 |
| Publisher | Pearson |
| Format | |
| Pages | 608 |
For courses in Statistical Methods for the Social Sciences . Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes you have no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a two-semester course. The 5th Edition gives you examples and exercises with a variety of “real data.” It includes more illustrations of statistical software for computations and takes advantage of the outstanding applets to explain key concepts, such as sampling distributions and conducting basic data analyses. It continues to downplay mathematics–often a stumbling block for students–while avoiding reliance on an overly simplistic recipe-based approach to statistics.
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