Computational Handbook of Statistics (2nd Edition)

by James L. Bruning, B.L. Kintz, B. L. Kintz

Book Overview

Features a step-by-step approach to statistical analysis. Includes illustrative examples from the behavioral and social sciences - applicable to education as well as a broad range of other fields.

• Format: Paperback
• Language: English
• ISBN: 0673150143
• ISBN13: 9780673150141
• Release Date: January 1977
• Publisher: Longman Higher Education
• Length: 308 Pages
• Weight: 0.95 lbs.

Customer Reviews

So helpful we once owned an upstairs and downstairs copy

What is the best way to learn and be secure in your learning -- work a problem through with expert guidance. This book provides clear advice about what statistics to choose for what problem and then provides small data sets. You can confirm your capability by working the problem step-by-step with the authors -- that includes understanding the meaning of your result and drawing an appropriate conclusion. Students love it. Me, too.

A true friend

I also used the first edition of this book. Several copies of it in fact. The first two editions were true handbooks that were never out of reach from my desk (unless "borrowed") for over thirty years. I cannot recommend this book too highly to anyone who will be using statistics. May it be as true a friend to you as it was to me.(But did the price have to increase so drasticly?)

A fabulous cookbook

I cut my teeth in statistics with the first edition of this book in 1968, back before we had computer programs to do our statistics for us. And I have kept the second edition on my shelf since 1977. The book leads the reader step by step through the hand calculations for all the basic statistics, and for some relatively obscure ones as well (such as tests of the difference between two correlations or between two proportions). These days, students of statistics go right to their keyboards, and the statistics come out a millisecond or two later. But if you want your students to see how these things are actually calculated, there is no better reference than this.

Cookbook approach to statistics for novices/out of practice.

Had orginally purchased an edition in 1974; carried it with me for 24 years and then lost track of it. Remembered how good it had served me. One of few places I could find a point-biserial correlation. Step-by-step approach extremely helpful. Examples useful.