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Introduction to Statistical Data Analysis for the Life Sciences 2014

1. Front Cover

2. Contents

3. Preface

4. Chapter 1 - Description of samples and populations

5. Chapter 2 - Linear regression

6. Chapter 3 - Comparison of groups

7. Chapter 4 - The normal distribution

8. Chapter 5 - Statistical models, estimation, and confidence intervals

9. Chapter 6 - Hypothesis tests

10. Chapter 7 - Model validation and prediction

11. Chapter 8 - Linear normal models

12. Chapter 9 - Non-linear regression

13. Chapter 10 - Probabilities

14. Chapter 11 - The binomial distribution

15. Chapter 12 - Analysis of count data

16. Chapter 13 - Logistic regression

17. Chapter 14 - Statistical analysis examples

18. Chapter 15 - Case exercises

19. Appendix A - Summary of inference methods

20. Appendix B - Introduction to R

21. Appendix C - Statistical tables

22. Appendix D - List of examples used throughout the book

23. Bibliography

24. Back Cover