Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences
eBook - ePub

Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences

With jamovi

  1. 364 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences

With jamovi

About this book

Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With jamovi is an introductory textbook for learning statistics. It starts with the very basics and prioritises helping the reader to develop a conceptual understanding of statistics, and apply the most fundamental statistical tools. New concepts are introduced with examples designed to be familiar to the reader, serving as a useful starting point for exploring more abstract concepts.

Key Features:

  • Designed to be accessible for students learning statistics in biological and environmental sciences.
  • Utilizes the statistical software jamovi to explore new concepts.
  • Prioritizes good statistical judgement over adherence to protocols.

This book will be useful to students beginning their study of statistical concepts in biological and environmental sciences, whilst also acting as an insightful resource for teachers using jamovi in the classroom. Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With jamovi is a valuable resource for anyone who wishes to understand and apply statistical techniques commonly used in the biological and environmental sciences.

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Yes, you can access Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences by A. Bradley Duthie in PDF and/or ePUB format, as well as other popular books in Mathematics & Biology. We have over one million books available in our catalogue for you to explore.

Information

Year
2024
eBook ISBN
9781040126905
Edition
1

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Acknowledgements
  8. About the author
  9. 1 Background mathematics
  10. 2 Data organisation
  11. 3 Practical. Preparing data
  12. 4 Populations and samples
  13. 5 Types of variables
  14. 6 Accuracy, precision, and units
  15. 7 Uncertainty propagation
  16. 8 Practical. Introduction to jamovi
  17. 9 Decimal places, significant figures, and rounding
  18. 10 Graphs
  19. 11 Measures of central tendency
  20. 12 Measures of spread
  21. 13 Skew and kurtosis
  22. 14 Practical. Plotting and statistical summaries in jamovi
  23. 15 Introduction to probability models
  24. 16 Central Limit Theorem
  25. 17 Practical. Probability and simulation
  26. 18 Confidence intervals
  27. 19 The t-interval
  28. 20 Practical. z- and t-intervals
  29. 21 What is hypothesis testing?
  30. 22 The t-test
  31. 23 Practical. Hypothesis testing and t-tests
  32. 24 Analysis of variance
  33. 25 Multiple comparisons
  34. 26 Kruskal-Wallis H test
  35. 27 Two-way ANOVA
  36. 28 Practical. ANOVA and associated tests
  37. 29 Frequency and count data
  38. 30 Correlation
  39. 31 Practical. Analysis of counts and correlations
  40. 32 Simple linear regression
  41. 33 Multiple regression
  42. 34 Practical. Using regression
  43. 35 Randomisation
  44. Appendix
  45. Bibliography
  46. Index