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.

Students studying courses in Biological Statistics at university undergraduate level.

Autorentext

Michael C. Whitlock; Dolph Schluter

Klappentext

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

Zusammenfassung
The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.

Inhalt

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