The evolution of a classicThe 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.
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The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.
PART 1 INTRODUCTION TO STATISTICS1. Statistics and samples 1INTERLEAF 1 Biology and the history of statistics 232. Displaying data 253. Describing data 654. Estimating with uncertainty 95INTERLEAF 2 Pseudoreplication 1155. Probability 1176. Hypothesis testing 149INTERLEAF 3 Why statistical significance is not the sameas biological importance 176PART 2 PROPORTIONS AND FREQUENCIES7. Analyzing proportions 179INTERLEAF 4 Correlation does not require causation 2018. Fitting probability models to frequency data 203INTERLEAF 5 Making a plan 2339. Contingency analysis: associations betweencategorical variables 235Review Problems 1 269viiWS2_Frontmatter_pi-xxxiv_v2.indd 7 13/07/16 11:55 AMviii Contents in briefPART 3 COMPARING NUMERICAL VALUES10. The normal distribution 273INTERLEAF 6 Controls in medical studies 30111. Inference for a normal population 30312. Comparing two means 327INTERLEAF 7 Which test should I use? 36613. Handling violations of assumptions 369Review Problems 2 41714. Designing experiments 423INTERLEAF 8 Data dredging 45615. Comparing means of more than two groups 459INTERLEAF 9 Experimental and statistical mistakes 500PART 4 REGRESSION AND CORRELATION16. Correlation between numerical variables 503INTERLEAF 10 Publication bias 53517. Regression 539INTERLEAF 11 Using species as data points 593Review Problems 3 597PART 5 MODERN STATISTICAL METHODS18. Multiple explanatory variables 60519. Computer-intensive methods 63520. Likelihood 65521. Meta-analysis: combining information frommultiple studies 681
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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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Continues to lead with its rigorous problem sets and pedagogical support in the text.Model Organism boxes describe key features of a model organism.Genetics and Society Questions at the end of each chapter.
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Produktdetaljer

ISBN
9781319325343
Publisert
2020-03-02
Utgave
3. utgave
Utgiver
Vendor
W.H.Freeman & Co Ltd
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Lower undergraduate, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet

Biographical note

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.