
Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences
With jamovi
- 364 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
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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Information
Table of contents
- Cover Page
- Half-Title Page
- Title Page
- Copyright Page
- Contents
- Preface
- Acknowledgements
- About the author
- 1 Background mathematics
- 2 Data organisation
- 3 Practical. Preparing data
- 4 Populations and samples
- 5 Types of variables
- 6 Accuracy, precision, and units
- 7 Uncertainty propagation
- 8 Practical. Introduction to jamovi
- 9 Decimal places, significant figures, and rounding
- 10 Graphs
- 11 Measures of central tendency
- 12 Measures of spread
- 13 Skew and kurtosis
- 14 Practical. Plotting and statistical summaries in jamovi
- 15 Introduction to probability models
- 16 Central Limit Theorem
- 17 Practical. Probability and simulation
- 18 Confidence intervals
- 19 The t-interval
- 20 Practical. z- and t-intervals
- 21 What is hypothesis testing?
- 22 The t-test
- 23 Practical. Hypothesis testing and t-tests
- 24 Analysis of variance
- 25 Multiple comparisons
- 26 Kruskal-Wallis H test
- 27 Two-way ANOVA
- 28 Practical. ANOVA and associated tests
- 29 Frequency and count data
- 30 Correlation
- 31 Practical. Analysis of counts and correlations
- 32 Simple linear regression
- 33 Multiple regression
- 34 Practical. Using regression
- 35 Randomisation
- Appendix
- Bibliography
- Index