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Sarah Knapp Abramowitz has written 4 work(s)
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Cover for 9781107461185 Cover for 9781107461222 Cover for 9780521899222 Cover for 9780521632089 Cover for 9780521635615
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Paperback:

9781107461222 | 3 pap/psc edition (Cambridge Univ Pr, March 2, 2016), cover price $89.99

cover image for 9780521899222
Product Description: This is an introductory applied statistics text that can be used for a one- or two-semester course at either the undergraduate or graduate level. Central features are its hands-on approach; the use of real data; the wealth of exercises and illustrated examples using these data; the complete set of detailed answers to exercises in an appendix; the presentation of statistical methods with a clear, conceptual emphasis that includes an historical account of each method; and the integration of SPSS in a way that reflects statistical practice...read more

Hardcover:

9780521899222 | 2 har/cdr edition (Cambridge Univ Pr, March 31, 2008), cover price $146.00 | About this edition: This is an introductory applied statistics text that can be used for a one- or two-semester course at either the undergraduate or graduate level.

cover image for 9780521632089
Product Description: This book is written from the perspective that statistics is an integrated set of tools used together to uncover the story contained in numerical data. Accordingly, the book comes with a disk containing a series of real data sets to motivate discussions of appropriate methods of analysis...read more (view table of contents, read Amazon.com's description)

Hardcover:

9780521632089 | 2 sub edition (Cambridge Univ Pr, May 1, 2002), cover price $204.99 | About this edition: This book is written from the perspective that statistics is an integrated set of tools used together to uncover the story contained in numerical data.

Paperback:

9780521635615 | Pap/dis edition (Cambridge Univ Pr, May 1, 2002), cover price $62.00 | About this edition: This book is written from the perspective that statistics is an integrated set of tools used together to uncover the story contained in numerical data.

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