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Statistical Methods for the Social Sciences (3rd Edition), by Alan Agresti, Barbara Finlay
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Assuming no prior knowledge of statistics, these authors combine their varied backgrounds—one a statistician, the other a social scientist—to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that are interesting and relevant to social scientists. The Third Edition has been both updated and improved to integrate real-world data into examples and exercises, and make coverage more accessible throughout.
- Sales Rank: #853521 in Books
- Published on: 1997-03-28
- Original language: English
- Number of items: 1
- Dimensions: 9.28" h x 1.23" w x 7.16" l,
- Binding: Hardcover
- 706 pages
From the Publisher
Assuming no prior knowledge of statistics, these authors combine their varied backgrounds--one a statistician, the other a social scientist--to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that are interesting and relevant to social scientists. The Third Edition has been both updated and improved to integrate real-world data into examples and exercises, and make coverage more accessible throughout.
From the Back Cover
Assuming no prior knowledge of statistics, these authors combine their varied backgrounds—one a statistician, the other a social scientist—to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that are interesting and relevant to social scientists. The Third Edition has been both updated and improved to integrate real-world data into examples and exercises, and make coverage more accessible throughout.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Five Stars
By Renee
Perfect condition, purchased for stats class.
10 of 10 people found the following review helpful.
Solid Text on Introductory Applied Statistics. A Keeper.
By A. Luque
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.
14 of 15 people found the following review helpful.
Poorly edited...
By PoliSciGrad
This book has solid formulae, but
Some of the exercises weren't checked for validity.
I wasted an hour when a prediction equation contained a negative coefficient,
when it in fact should have been positive. I hate when this happens, because students often
Assume that these things are adequately proofread and mathematically sound.
For the amount students are charged for academic texts such as these, this is simply unacceptable.
Also, some of the terminology in the exercises deviates from that covered in the chapters.
Eg; strength in association suddenly becomes magnitude. You eventually infer these relationships, but
When you're in the middle of trying to complete your homework and your constantly cycling back to the chapter in order to
Verify the correct processes needed to complete the problem, the last thing you need is to have an author suddenly
Deviate from the standard (pardon the pun) terminology. I understand that these books take a lot of time and energy to produce, hence the significant cost, but my time is valuable as well and given this, the overall cost is not worth it for this book.
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