Statistics without Mathematics
eBook - ePub

Statistics without Mathematics

  1. 192 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Statistics without Mathematics

Book details
Table of contents
Citations

About This Book

This is a book about the ideas that drive statistics. It is an ideal primer for students who need an introduction to the concepts of statistics without the added confusion of technical jargon and mathematical language.

It introduces the intuitive thinking behind standard procedures, explores the process of informal reasoning, and usesconceptual frameworks to provide a foundation for students new to statistics. It showcases the expertise we have all developed from living in a data saturated society, increases our statistical literacy and gives us the tools needed to approach statistical mathematics with confidence.

Key topics include:

  • Variability
  • Standard Distributions
  • Correlation
  • Relationship
  • Sampling
  • Inference

An engaging, informal introduction this book sets out the conceptual tools required by anyone undertaking statistical procedures for the first time or for anyone needing a fresh perspective whilst studying the work of others.

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Yes, you can access Statistics without Mathematics by David J. Bartholomew in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
SAGE Publications Ltd
Year
2015
ISBN
9781473934320
Edition
1
Topic
Social Sciences
Subtopic
Social Science Research & Methodology
Index
Social Sciences

Table of contents

  1. Cover
  2. Half Title
  3. Publisher Note
  4. Title Page
  5. Copyright Page
  6. Contents
  7. About the Author
  8. Preface
  9. Acknowledgements
  10. 0 Before We Begin
  11. 1 Picturing Variability
  12. 2 Interpreting Variability
  13. 3 Three Standard Distributions
  14. 4 Summarising Variation
  15. 5 The Analysis of Variation
  16. 6 Covariation
  17. 7 Sampling
  18. 8 Introduction to the Ideas of Inference
  19. 9 Sampling Distributions and More on Inference
  20. 10 Inference about Averages
  21. 11 Binary Data
  22. 12 Goodness of Fit
  23. 13 Unobserved Variables
  24. 14 Retrospect
  25. Appendix
  26. Index