The Analysis of Biological Data / Edition 1

The Analysis of Biological Data / Edition 1

by Michael Whitlock, Dolph Schluter
     
 

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ISBN-10: 0981519407

ISBN-13: 9780981519401

Pub. Date: 07/01/2008

Publisher: Roberts and Company Publishers

The Analysis of Biological Data is a new approach to teaching introductory statistics to biology students. To reach this unique audience, Whitlock and Schluter motivate learning with interesting biological and medical examples; they emphasize intuitive understanding; and they focus on real data. The book covers basic topics in introductory statistics, including

Overview

The Analysis of Biological Data is a new approach to teaching introductory statistics to biology students. To reach this unique audience, Whitlock and Schluter motivate learning with interesting biological and medical examples; they emphasize intuitive understanding; and they focus on real data. The book covers basic topics in introductory statistics, including graphs, confidence intervals, hypothesis testing, comparison of means, regression, and designing experiments. It also introduces the principles behind such modern topics as likelihood, linear models, meta-analysis and computer-intensive methods. Instructors and students consistently praise the book's clear and engaging writing, strong visualization techniques, and its variety of fascinating and relevant biological examples.

Product Details

ISBN-13:
9780981519401
Publisher:
Roberts and Company Publishers
Publication date:
07/01/2008
Edition description:
First Edition, 1st Edition
Pages:
704
Sales rank:
898,890
Product dimensions:
7.20(w) x 9.50(h) x 1.70(d)
Age Range:
18 Years

Table of Contents

PART 1 INTRODUCTION TO STATISTICS
1. Statistics and samples
INTERLEAF 1 Biology and the history of statistics
2. Displaying data
3. Describing data
4. Estimating with uncertainty
INTERLEAF 2 Pseudoreplication
5. Probability
6. Hypothesis testing
INTERLEAF 3 Why statistical significance is not the same as biological importance

PART 2 PROPORTIONS AND FREQUENCIES
7. Analyzing proportions
INTERLEAF 4 Correlation does not require causation
8. Fitting probability models to frequency data
INTERLEAF 5 Making a plan
9. Contingency analysis: associations between categorical variables

PART 3 COMPARING NUMERICAL VALUES
10. The normal distribution
INTERLEAF 6 Controls in medical studies
11. Inference for a normal population
12. Comparing two means
INTERLEAF 7 Which test should I use?
13. Handling violations of assumptions
14. Designing experiments
INTERLEAF 8 Data dredging
15. Comparing means of more than two groups
INTERLEAF 9 Experimental and statistical mistakes

PART 4 REGRESSION AND CORRELATION
16. Correlation between numerical variables
INTERLEAF 10 Publication bias
17. Regression
INTERLEAF 11 Using species as data points

PART 5 MODERN STATISTICAL METHODS
18. Multiple explanatory variables
19. Computer-intensive methods
20. Likelihood
21. Meta-analysis: combining information from multiple studies

Answers to practice problems
Literature cited
Statistical tables
Photo credits
Index

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