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Basic Statistics for the Health Sciences, by Jan Kuzma, Steve Bohnenblust
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The first introductory statistics text written specifically to make statistics accessible for health science students . Assuming no prerequisites other than high school algebra, the authors provide numerous examples from health settings, a wealth of helpful learning aids, as well as hundreds of exercises to help students succeed in the course.
- Sales Rank: #140491 in Books
- Published on: 2004-10-22
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.40" h x .80" w x 7.40" l, 1.50 pounds
- Binding: Hardcover
- 400 pages
About the Author
Kuzma served for 25 years as Chair of the Department of Biostatistics at Loma Linda University's School of Public Health.
Most helpful customer reviews
27 of 27 people found the following review helpful.
not much new
By Michael R. Chernick
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.
9 of 9 people found the following review helpful.
Horrible at explaining concepts and formulas
By B. Young
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.
2 of 2 people found the following review helpful.
Fair overview, but not always clear.
By A Customer
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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