The Analysis of Biological Data

Roberts (Verlag)
  • 3. Auflage
  • |
  • erscheint ca. am 1. August 2020
  • Buch
  • |
  • Hardcover
978-1-319-32534-3 (ISBN)
Analysis of Biological Data provides students with a practical foundation of statistics for biology students. Every chapter has several biological or medical examples of key concepts, and each example is prefaced by a substantial description of the biological setting. The emphasis on real and interesting examples carries into the problem sets where students have dozens of practice problems based on real data.
The third 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 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 adopting instructors.
3rd ed. 2020
  • Englisch
  • New York
  • |
  • Großbritannien
Macmillan Learning
  • Höhe: 23.5 cm
  • |
  • Breite: 15.5 cm
978-1-319-32534-3 (9781319325343)
weitere Ausgaben werden ermittelt

Michael Whitlock is an evolutionary biologist and population geneticist. He is a professor of zoology at the University of British Columbia, where he has taught statistics to biology students since 1995. Whitlock is known for his work on the spatial structure of biological populations, genetic drift, and the genetics of adaptation. He has worked with fungus beetles, rhinos, and fruit flies; mathematical theory; and statistical genetics. He is a fellow of the American Academy of Arts and Sciences and a fellow of the American Association for the Advancement of Science. He is also the former editor-in-chief of The American Naturalist.

Dolph Schluter is a Professor and Canada Research Chair in the Zoology Department and Biodiversity Research Center at the University of British Columbia. He is known for his research on the ecology and evolution of Galapagos finches and threespine stickleback. He is a fellow of the Royal Societies of Canada and London and a foreign member of the Academy of Arts and Sciences.


1. Statistics and samples 1

INTERLEAF 1 Biology and the history of statistics 23

2. Displaying data 25

3. Describing data 65

4. Estimating with uncertainty 95

INTERLEAF 2 Pseudoreplication 115

5. Probability 117

6. Hypothesis testing 149

INTERLEAF 3 Why statistical significance is not the same

as biological importance 176


7. Analyzing proportions 179

INTERLEAF 4 Correlation does not require causation 201

8. Fitting probability models to frequency data 203

INTERLEAF 5 Making a plan 233

9. Contingency analysis: associations between

categorical variables 235

Review Problems 1 269


WS2_Frontmatter_pi-xxxiv_v2.indd 7 13/07/16 11:55 AM

viii Contents in brief


10. The normal distribution 273

INTERLEAF 6 Controls in medical studies 301

11. Inference for a normal population 303

12. Comparing two means 327

INTERLEAF 7 Which test should I use? 366

13. Handling violations of assumptions 369

Review Problems 2 417

14. Designing experiments 423

INTERLEAF 8 Data dredging 456

15. Comparing means of more than two groups 459

INTERLEAF 9 Experimental and statistical mistakes 500


16. Correlation between numerical variables 503

INTERLEAF 10 Publication bias 535

17. Regression 539

INTERLEAF 11 Using species as data points 593

Review Problems 3 597


18. Multiple explanatory variables 605

19. Computer-intensive methods 635

20. Likelihood 655

21. Meta-analysis: combining information from

multiple studies 681

The authors 3 decades of experience in teaching has shown that biology students learn data analysis best in the context of interesting examples drawn from the medical and biological literature. Statistics is a means to an end, a tool to learn about the human and natural world. By emphasizing what we can learn about the science, the power and value of statistics becomes plain. Every chapter has several biological or medical examples of key concepts, and each example is prefaced by a substantial description of the biological setting. The examples are illustrated with photos of the real organisms, so that students can visualise the concepts they are learning about.For the first time, this textbook comes with SaplingPlus, the best online resource to teach students the problem-solving skills they need to succeed in Statistics. SaplingPlus combines Sapling's acclaimed automatically-graded online homework with an extensive suite of engaging multimedia learning resources.To learn more about SaplingPlus and how to purchase access, visit www.macmillanihe/sapling

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