Ebook Statistical Principles In Experimental Design, by Benjamin J Winer, Donald R Brown, Kenneth M Michels
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Statistical Principles In Experimental Design, by Benjamin J Winer, Donald R Brown, Kenneth M Michels
Ebook Statistical Principles In Experimental Design, by Benjamin J Winer, Donald R Brown, Kenneth M Michels
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A revision of this classic statistics text for first-year graduate students in psychology, education and related social sciences. The two new authors are former students of Winer's. They have updated, rewritten and reorganized the text to fit the course as it is now taught.
- Sales Rank: #1065944 in Books
- Brand: Brand: McGraw-Hill Humanities/Social Sciences/Languages
- Published on: 1991-02-01
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x 2.50" w x 7.80" l,
- Binding: Hardcover
- 928 pages
- Used Book in Good Condition
Most helpful customer reviews
0 of 0 people found the following review helpful.
... supposed to be in "new" condition - it looked good until I touched it
By EGrover
This item was supposed to be in "new" condition - it looked good until I touched it. it was so old and dried out that the cover fell off in the first 5 minutes we had it. I wrote an email to the seller and received no comment back. really needed the book or I would have sent it back.
11 of 13 people found the following review helpful.
Slow going
By A Customer
Maxwell & Delaney is better conceptually. And Winer is just work whereas Maxwell & Delaney is a pleasure. I would give Winer more stars if I didn't have the better alternative book though.
6 of 9 people found the following review helpful.
Nearly incomprehensible
By S. Moore
I wouldn't recommend buying this unless you need it for a statistics or research methods course. It's badly written, full of equations, and is very difficult to understand. A good understandable alternative (though not as in depth) is Keppel and Wickens.
Winer is not a book that you would read to get a basic understanding of statistics or experimental design - it's more of a reference book for when you have some data that you need to analyze and you're not sure how to do it, because the design was complicated.
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