Basic Statistics for the Health Sciences 5th Edition
Author: Jan Kuzma ID: 0072844035
Hardcover: 400 pagesPublisher: McGraw-Hill Humanities/Social Sciences/Languages; 5th edition (October 22, 2004)Language: EnglishISBN-10: 0072844035ISBN-13: 978-0072844030 Product Dimensions: 7.4 x 0.8 x 9.4 inches Shipping Weight: 14.1 ounces Best Sellers Rank: #405,678 in Books (See Top 100 in Books) #109 in Books > Textbooks > Medicine & Health Sciences > Research > Biostatistics #176 in Books > Medical Books > Basic Sciences > Biostatistics #902 in Books > Textbooks > Medicine & Health Sciences > Reference
Although three years have past since the third edition when this edition came out. there is very little difference in the fourth edition. There is a new second author but the first 7 chapters are virtually identical.
The biggest change appears to be the expansion of Chapter 8 from 6 sections to 16 with p-values introduced and explained in various contexts and type I and type II errors introduced one chapter earlier. The introduction of hypothesis testing along with estimation occurs in Chapter 8. This may be helpful to instructors if they tend to strictly follow the order in the text. Chapter 9 is somewhat shorter. These two chapters are now organized by one and two sample problems rather than by estimation and testing. It is not clear to me that this is a better way to organize and introduce the material.
In the end, the text is only 15 pages longer than the third edition and there are no new chapters. There seem to be fewer exercises overall.
Although there are noticeable differences in Chapters 8 an 9, there is very little difference in the other chapters. Most of the exercises are the same (with a few deleted from the new edition).
The authors claim to put more emphasis on the use of computers to solve problems. But this is not easily discernable. I only noticed some brief mention of SPSS version 9 in the ANOVA chapter.
The book I wrote with Robert Friis was intended for the same audience of students and includes a larger assortment of techniques including an introduction to bootstrap methods.
As a statistics tutor, I have had to spend countless hours explaining to students the content of this book due to its lack of ability to make concepts clear. This book assumes that the reader has a background in statistics and does not need detailed explanations. I have had to use my personal statistics book (Elementary Statistics by Mario F. Triola) to properly teach the students statistics. This book is frustrating to say the least.
The book is well organized from start to finish, and builds well on the topics as they are presented. Unfortunately, it often makes assumptions about the reader’s knowledge of the topic, usually around formula usage that is confusing and difficult.
As a primer for statistics, this one falls a little short.
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