
Basic Statistics for Life Scientists
A Concise Handbook of Essential Techniques
- 202 pages
- English
- PDF
- Available on iOS & Android
Basic Statistics for Life Scientists
A Concise Handbook of Essential Techniques
About this book
Concise and approachable yet rigorous discussion of the appropriate use of statistical techniques in life science research
Basic Statistics for Life Scientists is an approachable, concise handbook of essential statistical techniques that teaches correct practice in the life sciences and related fields, helping readers become competent users of statistics and assisting them in identifying the best statistical method for their research question while also being aware of its strengths and limitations. The book is supported by illustrations and real-world examples explaining how to apply the techniques using statistical software tools.
Written by two highly qualified authors, Basic Statistics for Life Scientists includes information on:
- Appropriate statistical techniques for evaluating experimental data, avoiding excessive jargon or mathematics
- Misuse of statistical techniques in life sciences research
- Systematic problems present in life sciences research, such as multiple hypothesis testing and pseudoreplication
- Experimental design and the problems associated with the concept of binary statistical significance
Basic Statistics for Life Scientists is an essential reference for students and researchers in life sciences and biomedicine, especially PhD students and postdoctoral researchers, seeking to confidently apply appropriate statistical tests to their data. The book is also valuable to advanced undergraduates and more senior researchers in related fields.
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Information
Table of contents
- Cover
- Title Page
- Copyright
- Contents
- List of Boxes
- Preface
- About the Companion Site
- Chapter 1 A Primer on Data Summarization and Visualization
- Chapter 2 The pâValue and Concept of Statistical Significance
- Chapter 3 Statistical Tests: How to Get the pâValue
- Chapter 4 Common Pitfalls Associated with the Use of pâValues and Statistical Significance
- Chapter 5 Problems of the Concept of Statistical Significance; Alternative Approaches
- Chapter 6 Experimental Design
- Chapter 7 Concluding Remarks
- Further Reading
- Appendix A A Brief Overview of Tools for Statistical Analysis
- Appendix B Additional Points on Tests for Contingency Tables
- Appendix C On the pâValue as a Measure of Evidence
- Code Samples
- Bibliography
- Index
- EULA