Overview

The evolution of a classic The new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level. The hallmark focuses on genetic analysis, quantitative problem solving, and experimentation continue in this new edition while incorporating robust updates to the science. Introduction to Genetic Analysis is now supported in Achieve, Macmillan’s new online learning platform. Achieve is the culmination of years of development work put toward creating the most powerful online learning tool for biology students. It houses all of our renowned assessments, multimedia assets, e-books, and instructor resources in a powerful new platform.

Full Product Details

Author:   Michael C. Whitlock ,  Dolph Schluter
Publisher:   Macmillan Learning
Imprint:   W.H.Freeman & Co Ltd
Edition:   3rd ed. 2020
ISBN:  

9781319325343

ISBN 10:   1319325343
Publication Date:   10 January 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

PART 1 INTRODUCTION TO STATISTICS 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 PART 2 PROPORTIONS AND FREQUENCIES 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 vii WS2_Frontmatter_pi-xxxiv_v2.indd 7 13/07/16 11:55 AM viii Contents in brief PART 3 COMPARING NUMERICAL VALUES 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 PART 4 REGRESSION AND CORRELATION 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 PART 5 MODERN STATISTICAL METHODS 18. Multiple explanatory variables 605 19. Computer-intensive methods 635 20. Likelihood 655 21. Meta-analysis: combining information from multiple studies 681

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Author Information

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.

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