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# Analysis of Biological Data

## Second EditionMichael C. Whitlock; Dolph Schluter

©2015ISBN:9781319156718

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ISBN:9781936221486

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Knowledge of statistics is essential in modern biology and medicine. Biologists and health professionals learn statistics best with real and interesting examples. The Analysis of Biological Data, Second Edition, by Whitlock and Schluter, teaches modern methods of statistics through the use of fascinating biological and medical cases. Readers consistently praise its clear and engaging writing and practical perspective.

The second edition features over 200 new examples and problems. These include new calculation practice problems, which guide the student step by step through the methods, and a greater number of the examples and topics come from medical and human health research. Every chapter has been carefully edited for even greater clarity and ease of use. All the data sets, R scripts for all worked examples in the book, as well as many other teaching resources, are available to qualified instructors (see below).

The Analysis of Biological Data is the most widely adopted introductory biological statistics textbook. It is now used at well over 200 schools and on every continent.

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Learn More## 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