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The Analysis of Biological Data plus SaplingPlus Pack

The Analysis of Biological Data plus SaplingPlus Pack

9781319341701
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Description
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.
Product Details
Macmillan International Higher Education
82272
9781319341701
9781319341701

Data sheet

Publication date
2020
Issue number
1
Dimensions (mm)
155.00 x 235.00
  • 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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