Statistics For Dummies® Kindle Edition
Author: Deborah J. Rumsey ID: B004X75OFM
Done.
File Size: 10041 KBPrint Length: 387 pagesPage Numbers Source ISBN: 0470911085Publisher: For Dummies; 2 edition (April 12, 2011)Publication Date: April 12, 2011 Sold by: Digital Services, Inc. Language: EnglishID: B004X75OFMText-to-Speech: Enabled X-Ray: Not Enabled Word Wise: Not EnabledLending: Enabled Enhanced Typesetting: Not Enabled Best Sellers Rank: #27,261 Paid in Kindle Store (See Top 100 Paid in Kindle Store) #1 in Kindle Store > Kindle eBooks > education & Teaching > Teacher Resources > Education Theory > Statistics #5 in Kindle Store > Kindle eBooks > Nonfiction > science > Mathematics > Applied > Probability & Statistics #28 in Books > Science & Math > Mathematics > Applied > Statistics
UPDATE: I’m knocking this down to three stars. After finishing a very tough statistics course, I started browsing this book again, and I realized that the section on "comparing two population proportions" makes no mention at all of having to meet a success-failure condition (which is mentioned for a single-proportion hypothesis test). In fact, the example regarding the drug Adderall does not meet this condition. You don’t even have to calculate the pooled estimate to see this; we’re told that 8 of 210 subjects receiving a placebo were "successes." This is an invalid test and the results are therefore meaningless. If the author sees this, I’d appreciate any feedback in the comments.
ORIGINAL REVIEW: I’m an old geezer who has found that he needs to dive back into statistics late in life. I never had any stats classes in college, though I did have calculus and one linear algebra class. Since then, I’ve learned a fair amount about statistics on my own, but that was a long time ago.
I originally got the same author’s "Statistics Essentials for Dummies" book because I got the "Calculus Essentials for Dummies" book some months ago and was floored by how good it was. The essential statistics book let me down, largely because it moved too quickly, by which I mean the author sometimes waved a magic wand over a topic, threw out a formula, and that was that. I could plug in numbers but had no understanding.
This book suffers from that problem to a degree, but it provides a somewhat higher level of detail. A typical example is the standard deviation. Like many beginner texts, this one shows how to calculate it, but doesn’t explain how it was developed, who came up with the idea for it, or why.
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