Description
Book SynopsisThis clear and concise guide provides the introduction to descriptive statistical analysis that all students need to draw insightful conclusions from their data. Assuming no prior expertise, it presents jargon-free and practical advice for analysing and presenting numbers.
Trade Review"This book provides a great introduction for students who want to undertake quantitative or mixed-methods research for their dissertation. Many are not well versed in mathematics and statistics, and this book provides a gentle introduction. Chapters 9 and 10 are especially helpful, as they cover how to present numerical information and analysis, which some other textbooks do not do as well." Carrie Philips, University of Sunderland
Table of ContentsIntroduction: Why this book actually is different 1. Everybody’s talking about it: important terms explained in everyday language 2. What are numbers really about? 3. Absolute beginnings: starting statistical analysis one variable at a time 4. What you see is only half the story: why you need more than averages to describe distributions 5. How the tables turn: examining relationships between categorical variables 6. What does it all mean? Comparing distributions between groups 7. You’re so predictable: using correlations 8. Where do we draw the line? How regression analysis can tell you more than correlation 9. A graph is like a joke: if you have to explain it, it isn’t any good 10. Telling statistical stories: how to present your findings and conclusions
