The analysis of biological data

書誌事項

The analysis of biological data

Michael C. Whitlock and Dolph Schluter

Macmillan International Higher Education, c2020

3rd ed

大学図書館所蔵 件 / 3

この図書・雑誌をさがす

注記

Includes bibliographical references (p. 733-754) and index

内容説明・目次

内容説明

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.

目次

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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詳細情報

  • NII書誌ID(NCID)
    BC04783189
  • ISBN
    • 9781319325343
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    New York
  • ページ数/冊数
    xxvii, 818 p.
  • 大きさ
    25 cm
  • 分類
  • 件名
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