Introduction to Statistics for Biology
eBook - PDF

Introduction to Statistics for Biology

  1. 296 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Introduction to Statistics for Biology

Book details
Table of contents
Citations

About This Book

Even though an understanding of experimental design and statistics is central to modern biology, undergraduate and graduate students studying biological subjects often lack confidence in their numerical abilities. Allaying the anxieties of students, Introduction to Statistics for Biology, Third Edition provides a painless introduction to the subject while demonstrating the importance of statistics in contemporary biological studies.New to the Third Edition

  • More detailed explanation of the ideas of elementary probability to simplify the rationale behind hypothesis testing, before moving on to simple tests
  • An emphasis on experimental design and data simulation prior to performing an experiment
  • A general template for carrying out statistical tests from hypothesis to interpretation
  • Worked examples and updated Minitab analyses and graphics
  • Downloadable resources contains a free trial version of MinitabUsing Minitab throughout to present practical examples, the authors emphasize the interpretation of computer output. With its nontechnical approach and practical advice, this student-friendly introductory text lays the foundation for the advanced study of statistical analysis.

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Yes, you can access Introduction to Statistics for Biology by Trudy A. Watt, Robin H. McCleery, Tom Hart in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2007
ISBN
9781420011524
Edition
3
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front cover
  2. Contributors
  3. Contents
  4. Preface
  5. Chapter 1. How Long Is a Worm?
  6. Chapter 2. Confidence Intervals
  7. Chapter 3. Comparing Things: Two Sample Tests
  8. Chapter 4. Planning an Experiment
  9. Chapter 5. Partitioning Variation and Constructing a Model
  10. Chapter 6. Analysing Your Results: Is There Anything There?
  11. Chapter 7. Interpreting Your Analysis: From Hypothesis Testing To Biological Meaning
  12. Chapter 8. Relating One Variable to Another
  13. Chapter 9. Categorical Data
  14. Chapter 10. Nonparametric Tests
  15. Chapter 11. Managing Your Project
  16. Appendix A: An Introduction to MINITAB
  17. Appendix B: Statistical Power and Sample Size
  18. Appendix C: Statistical Tables
  19. Appendix D: References and Further Reading
  20. Appendix E: Statistical Tests
  21. Index
  22. Back cover