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Statistical Methods For The Social Sciences(Global Ediiton)

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Download Statistical Methods For The Social Sciences written by Alan Agresti in PDF format. This book is under the category Psychology - Psychology - Theory, History & Research and bearing the isbn/isbn13 number 1292220341/9781292220345. You may reffer the table below for additional details of the book. We do NOT provide access codes, we provide eBooks ONLY. Instant access will be granted as soon as you complete the payment.

Specifications

book-author

Alan Agresti

file-size

8.80Mb

file-type

PDF

isbn10

1292220341

isbn13

9781292220345

language

English

pages

564 pages

publisher

Pearson


Book Description

Designed specifically for classes covering statistical methods applicable to the social sciences. Methods of statistics that have been applied to the social sciences and have been simplified so that anyone can understand them by placing an emphasis on concepts Students majoring in social science disciplines are given an introduction to statistical methods through the course Statistical Methods for the Social Sciences. This book assumes no prior knowledge of statistics and only a minimal mathematical background, focusing instead on the concepts that are being discussed and the applications that they lead to. It includes a sufficient amount of material for a course that spans two semesters. In the 5th Edition, examples and exercises are provided that use a wide variety of “real data.” It makes use of the excellent applets to explain key concepts, such as sampling distributions and conducting basic data analyses, and it contains additional illustrations of statistical software for computations. It continues to downplay mathematics, which is often a barrier for students, while avoiding dependence on an overly simplistic recipe-based approach to statistics. Mathematics is often a barrier for students.

book-author

Alan Agresti

file-size

8.80Mb

file-type

PDF

isbn10

1292220341

isbn13

9781292220345

language

English

pages

564 pages

publisher

Pearson

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