- 296 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
How to Make Sense of Statistics
About this book
In a new textbook designed for students new to statistics and social data, Stephen Gorard focuses on non-inferential statistics as a basis to ensure students have basic statistical literacy.
Understanding why we have to learn statistics and seeing the links between the numbers and real life is a crucial starting point. Using engaging, friendly, approachable language this book will demystify numbers from the outset, explaining exactly how they can be used as tools to understand the relationships between variables.
This text assumes no previous mathematical or statistical knowledge, taking the reader through each basic technique with step-by-step advice, worked examples, and exercises. Using non-inferential techniques, students learn the foundations that underpin all statistical analysis and will learn from the ground up how to produce theoretically and empirically informed statistical results.
Understanding why we have to learn statistics and seeing the links between the numbers and real life is a crucial starting point. Using engaging, friendly, approachable language this book will demystify numbers from the outset, explaining exactly how they can be used as tools to understand the relationships between variables.
This text assumes no previous mathematical or statistical knowledge, taking the reader through each basic technique with step-by-step advice, worked examples, and exercises. Using non-inferential techniques, students learn the foundations that underpin all statistical analysis and will learn from the ground up how to produce theoretically and empirically informed statistical results.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access How to Make Sense of Statistics by Stephen Gorard,Author in PDF and/or ePUB format, as well as other popular books in Social Sciences & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Publisher Note
- Title Page
- Copyright Page
- Acknowledgements
- Contents
- Detailed Contents
- Illustration List
- Table List
- About the Author
- Preface
- Online resources
- Part I Introduction
- 1 Why we use numbers in research
- 2 What is a number? Issues of measurement
- Part II Basic analyses
- 3 Working with one variable
- 4 Working with tables of categorical variables
- 5 Examining differences between real numbers
- 6 Significance tests: How to conduct them and what they do not mean
- 7 Significance tests: Why we should not report them
- Part III Advanced issues for analysis
- 8 The role of judgement in analysis
- 9 Research designs
- 10 Sampling and populations
- 11 What is randomness?
- 12 Handling missing data: The importance of what we do not know
- 13 Handling missing data: More complex issues
- 14 Errors in measurements
- Part IV Modelling with data
- 15 Correlating two real numbers
- 16 Predicting measurements using simple linear regression
- 17 Predicting measurements using multiple linear regression
- 18 Assumptions and limitations in regression
- 19 Predicting outcomes using logistic regression
- 20 Data reduction techniques
- Part V Conclusion
- 21 Presenting data for your audience
- Glossary
- References
- Index