- Series: Dover Books on Mathematics
- Paperback: 399 pages
- Publisher: Dover Publications; 2nd Revised ed. edition (June 1, 1971)
- Language: English
- ISBN-10: 0486227294
- ISBN-13: 978-0486227290
- Product Dimensions: 5.4 x 0.9 x 8.5 inches
- Shipping Weight: 12.8 ounces (View shipping rates and policies)
- Average Customer Review: 11 customer reviews
- Amazon Best Sellers Rank: #1,225,385 in Books (See Top 100 in Books)
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Practical Statistics Simply Explained (Dover Books on Mathematics) 2nd Revised ed. Edition
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What to make of all these five star reviews praise the book for not taking calculator "short-cuts"? This all seems a bit like - what to call it - the Luddite approach. I wonder how many readers are actually going to use the tables for squares and square roots at the back of the book! There is absolutely no reason to do so if you understand the concept and possess a calculator. I defy anyone to give me a sensible argument not to ignore them! I can understand why Langley put the tables in here: The book was originally published in 1968! But these reviews were not. They were all written on electronic computers!
OK, you get the idea. Langley is a fun author - Some of his fictitious example problems made me laugh out loud! - And you can learn statistics, of a sort, through this book. But, really, unless you want to smash all calculators and the computer from which you are reading this review and hie yourself back to the Neolithic age, reading the book by candlelight, in order to determine if the difference in the number of antelope you've speared this year has statistical significance, I suggest you buy something more, ahem, 21st Century.
This book really does have some great advice and suggestions, and contains mainly nonparametric tests, as the author had thought that such simple tests were safer for beginners, although encouraged further reading. Formulae and tables for all the tests are provided. More modern overviews such as Charles Whelan's Naked Statistics or something still light but with more statistical formulae such as Neil Salkind's Statistics for People Who (think they) Hate Statistics (just be careful with Excel, especially prior to 2010) are available. Langley's book is still good for starting out with.
Most recent customer reviews
This book is very easy to read, very enjoyable even, but I find it a little verbose (not that this is necessarily a...Read more