Free PDF Statistical Methods for the Social Sciences (4th Edition)
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Statistical Methods for the Social Sciences (4th Edition)
Free PDF Statistical Methods for the Social Sciences (4th Edition)
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Review
"This text is readable, understandable, and well-organized. It provides good examples with SPSS output." (Robert Wilson, University of Delaware). "Overall, [Agresti/ Finlay] is a good book for introductory statistics that targets general audiences...it covers most topics you want to cover and allows the instructor to choose which topics to include." (Youqin Huang, State University of New York, Albany) "I originally started using the Agresti/ Finlay book based on its reputation as "the class of the market", in terms of being unfailingly statistically correct and having a "modern" perspective. By "modern", I mean that it is model rather than test oriented, that it gives heavy emphasis to confidence intervals and p-values rather than using arbitrary levels of significance, and that it eschews computational formulae. It has met those expectations..." (Michael Lacey, Colorado State University) "..the book has been a good and helpful resource for me in preparing the class notes and assigning homework qustions. The main concepts to be understood by students are sampling distribution, confidence interval, p-value, linear regression. The book helps in this..." (Arne Bathke, University of Kentucky)
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From the Back Cover
The book presents an introduction to statistical methods for students majoring in social science disciplines. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra). The book contains sufficient material for a two-semester sequence of courses. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.
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Product details
Hardcover: 624 pages
Publisher: Prentice Hall; 4 edition (January 7, 2008)
Language: English
ISBN-10: 0130272957
ISBN-13: 978-0130272959
Product Dimensions:
8.1 x 1.1 x 10.1 inches
Shipping Weight: 2.6 pounds
Average Customer Review:
3.5 out of 5 stars
64 customer reviews
Amazon Best Sellers Rank:
#424,899 in Books (See Top 100 in Books)
One of the worst text books I've read to date. Super confusing to understand as the author references synonymous notations back and forth to confuse the reader. His examples and explanations are hard to follow and understand. This could have been written so much easier to understand, even I could have written it better. Unfortunately I'm stuck using this book for my class, but thank God my professors lectures explain the material way more clearly for me to understand because reading this book alone would leave me lost.
Well... the text is pretty straightforward. It markets itself particularly to the social sciences, but in reality it is nothing more than an introductory statistics text. Nonetheless, it is very clearly written and covers most of the basics you need to do any kind of research (multiple regressions, ANOVA, basic t,z, and F-tests, etc.). This is by no means a theoretical textbook: if you want to learn about distribution theory and the proofs behind the tests look elsewhere. If you want a quick introduction and reference to the different methods and tests with all the assumptions and potential pitfalls then this text is perfect.
I personally didn't find this textbook's explanations or presentation of material entirely intuitive, especially for anybody who hadn't already been exposed to statistics. It serves a purpose just fine, but I think some of the topics could have benefited from clearer conceptual explanations. I was assigned it in a first-year PhD class, and found myself rereading a previous textbook when I couldn't remember certain ideas.
Exercises in this "international edition" are not the same to those of the American one. The text is the same, though.
the description is OK, but unfortunately they annoyingly have the chapter sub-subsections and examples all in one line, and their way of numbering sections and examples makes it much harder to quickly visibly scan through and find the specific example the professor is discussing in class (i.e. for chapter 5, you have subsection 5.1 which may contain examples 5.1, 5.2, and 5.3, then subsection 5.2 would have examples 5.4 and 5.5 etc, instead of more logically numbering them as subsection 5.1 example 5.1a, 5.1b, 5.1c, etc). This meant I was scrambling many times to get to the section the professor was actually discussing after accidentally winding up in the example instead of subsection (on those small classroom desks that are already too small for just my laptop, this was extremely annoying). The formatting is also problematic for me as a dyslexic in several ways. The information presented (once you get to it) is reasonably well-written but not so outstandingly better done than other textbooks that were formatted more logically to raise the rating (I would give this textbook a 2 star for the formatting issues alone, the quality of the actual instruction earned it an additional star from me).
Great product!
Perfect condition, purchased for stats class.
I needed this book for HW assignments for a class I am taking. Although it may be to make the material more digestible, I have to say the book does a poor job of explaining concepts and makes it more confusing without prior knowledge. Also a lot of the exercises are vague and odd imo.
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