Main description:

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.

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