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.
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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.
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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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Produktdetaljer

ISBN
9781319341701
Publisert
2020-06-23
Utgiver
Vendor
Roberts & Company Publishers
Høyde
235 mm
Bredde
155 mm
Aldersnivå
06, P
Språk
Product language
Engelsk
Format
Product format
Kombinasjonsprodukt

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.