Analysis of Biological Data
Second EditionMichael C. Whitlock; Dolph Schluter©2015
Bookmark, search, and highlight our mobile-friendly reflowable e-books.
Read and study old-school with our bound texts.
This package includes Hardcover and Sapling Learning.
You will need to find your course in order to purchase Sapling.
Biologists and health professionals learn statistics best with real and interesting examples, which is why Analysis of Biological Data features over 200 new examples and problems from today's medical and human health research. Modern methods of statistics are taught step-by-step using fascinating biological and medical cases.
Table of Contents
PART 1. INTRODUCTION TO STATISTICS
1. Statistics and samples
INTERLEAF 1 Biology and the history of statistics
2. Displaying data
3. Describing data
4. Estimating with uncertainty
INTERLEAF 2 Pseudoreplication
6. Hypothesis testing
INTERLEAF 3 Why statistical significance is not the same as biological importance
PART 2. PROPORTIONS AND FREQUENCIES
7. Analyzing proportions
INTERLEAF 4 Correlation does not require causation
8. Fitting probability models to frequency data
INTERLEAF 5 Making a plan
9. Contingency analysis: associations between categorical variables
PART 3. COMPARING NUMERICAL VALUES
10. The normal distribution
INTERLEAF 6 Controls in medical studies
11. Inference for a normal population
12. Comparing two means
INTERLEAF 7 Which test should I use?
13. Handling violations of assumptions
14. Designing experiments
INTERLEAF 8 Data dredging
15. Comparing means of more than two groups
INTERLEAF 9 Experimental and statistical mistakes
PART 4. REGRESSION AND CORRELATION
16. Correlation between numerical variables
INTERLEAF 10 Publication bias
INTERLEAF 11 Using species as data points
PART 5. MODERN STATISTICAL METHODS
18. Multiple explanatory variables
19. Computer-intensive methods
21. Meta-analysis: combining information from multiple studies
Answers to practice problems