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Statistics for Psychology (4th Edition) By Arthur AronElaine N. AronElliot Coups ( Prentice Hall )
Release Date: 2005-09-11
Average Customer Rating:
List Price: $133.20
Price: $104.85 Eligible for FREE Super Saver Shipping on orders over $25.
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Product Description
This book brings to life the compelling underlying logic of statistical methods so that readers can not only do the computations, but also truly understand what they are doing and remember what they have learned for years to come. This book covers the basic introductory statistics and methods including central tendency and variability, inferential statistics (Z scores, the normal curve, sample versus population, and probability), the t test, the analysis of variance, correlation, prediction, and more. For research analysts and reporters in the field of psychology.
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Poor
As previous reviewers mentioned, there were many errors in this book. Furthermore, it was an extremely unrigorous treatment, with many redundant examples and filler text. It was also scrupulously politically correct, with many pages devoted to "You're not going to fail this course if you're female or a minority". The same tone of self-important liberalism reappears throughout the text.
There are definitely better books out there.
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Poorly written and grossly over-priced ( dgl_books )
I had to use this textbook for my Statistics for Pyschology Majors class at UTD. All of the other comments about the errors are true, but I have something else to add: the syntax and examples. I can handle dry reading. I've had to do plenty of it in my major. But much of this book goes beyond dry to just plain unintelligible. I'm not a math dummy. I took three semesters of algebra including College Algebra and got straight A's. A number of people in my class gave up on the book and relied soley on the lectures. My professor told me that she isn't going to use this book next semester.
Reading this book was about as fun as eating a dirt sandwich. This book is an example of the college textbook industry price-gouging people who can least afford their defective products.
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errors
although this book is not bad and explains statistical concepts in a nice way, the amount of errors this book has is huge.
it feels like the writers of this book wrote it fast cuze the errors are not conceptual - they are numerical.
so for paying so much money for this - i expected more than that.
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Inexcusable! ( jezicat )
I've never come across a textbook with so many mathematical and typographical errors! It was absolutely infuriating! We could never trust what the book gave as a solution to an exercise.
If the authors would fix these errors it would be a decent text.
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Perfect for undergrads and grad students alike ( studentsandgrads )
I was amazed w/how clearly this book explained concepts (as compared with other books/professors). The book also explains the concepts in different ways/perspectives, so that if you don't understand one explanation you're likely to understand the others. The book also has a perfect range of material--complete coverage of Z-scores, t-tests, regression, and ANOVAs; all the way thru concepts like MANOVA/MANCOVA, and multiple regression. Also at the end includes a couple great chapters which give very simple explanations of more complex procedures such as structural equation modeling, causal modeling, factor analysis, etc. By far the best stats book I've read.
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