Description

Book Synopsis
This 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.

Table of Contents
Introduction: 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

Straightforward Statistics

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    Order before 4pm tomorrow for delivery by Sat 4 Jul 2026.

    A Hardback by Patrick White

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      Publisher: Bristol University Press
      Publication Date: 26/09/2023
      ISBN13: 9781447363682, 978-1447363682
      ISBN10: 144736368X

      Description

      Book Synopsis
      This 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.

      Table of Contents
      Introduction: 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

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