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Hardcover Statistics for the Life Sciences Book

ISBN: 0321989589

ISBN13: 9780321989581

Statistics for the Life Sciences

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Format: Hardcover

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Book Overview

The Fifth Edition of Statistics for the Life Sciences uses authentic examples and exercises from a wide variety of life science domains to give statistical concepts personal relevance, enabling students to connect concepts with situations they will encounter outside the classroom. The emphasis on understanding ideas rather than memorizing formulas makes the text ideal for students studying a variety of scientific fields: animal science, agronomy, biology, forestry, health, medicine, nutrition, pharmacy, physical education, zoology and more. In the fifth edition, randomization tests have been moved to the fore to motivate the inference procedures introduced in the text. There are no prerequisites for the text except elementary algebra. KEY TOPICS: Description of Samples and Populations; Probability and the Binomial Distribution; The Normal Distribution; Sampling Distributions; Confidence Intervals; Comparison of Two Independent Samples; Comparison of Paired Samples; Categorical Data: One-Sample Distributions; Categorical Data: Relationships; Comparing the Means of Many Independent Samples; Linear Regression and Correlation; A Summary of Inference Methods KEY MARKET For readers interested in statistics as it pertains to life science.

Customer Reviews

5 ratings

Excellent for students

As a college student taking statistics again (I took it before in high school), this book is much better than my old high school textbook. The examples are clear and there are optional lessons for those who want to delve further in the reasoning behind statistical formulas. I disagree with a reviewer who said that this book does not explain the theory behind the statistics. Everything is explained thoroughly, or maybe I see it that way because I'm not a math major. If you're taking a statistics class to fulfill a general requirement (such as pre-med students), you're most likely not interested in knowing where the formula came from, and the explanations in this book are more than enough. I think it's more important to know how to apply the formulas to different situations, which is what this book demonstrates very well.

Book better than class.

This textbook was required for my statistics class at the University of Wisconsin. I found the book easier to follow with better examples than my lecture was. Often I cannot learn anything right from the book, but this book made it easy with complete examples and simple descriptions of variables and theory. The book was so good, in fact, I rarely made it to class because I learned it better from the book!

An excellent textbook that teaches by example

In a word - wow. This is an outstanding textbook for undergraduate biology students. The number of practical, real life examples exceeds anything else I have seen in a statistics book, permitting the student to follow theory immediately with concrete practice. Examples are drawn from all axes of biology as well - physiology, biogeochemistry, pharmacology, microbiology, animal behaviour and more. I have been disappointed with previous textbooks which fall down in the following ways: 1) too much emphasis on the mathematics of calculation, or 2) lack of practical introductory treatment of moderately advanced topics which are nonetheless necessary to practitioners. This book for me strikes a very good balance between understanding the underpinnings without getting lost in equations, and getting your hands dirty with data in order to learn by example. Coverage is as wide as necessary today: introduction to logistic regression, and a clear treatment of interaction in two-way ANOVA. I do note that multiple regression is not touched. The sole drawback: sticker shock. It will be difficult for students to pay for a book that costs about $100 US. But at least you get what you pay for in this case.

easy introductory to statistics

I recently finished using Samuel's book in a dual level statistics course. As an undergraduate I found the material basic and extremely easy to follow. From the perspective of a student who has never had a formal statistics course, I found this book to be simple. Problems are relevant to the life sciences. I perhaps expected more challenging concepts and problems to have been presented-a bit disappointing.

very good stat book

Great examples, great problems, and a great writer sum up this book written by a Purdue Professor. If you deal with statistics and have a career in the health sciences, this is the book for you.
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