Understand Statistics: Teach Yourself
eBook - ePub

Understand Statistics: Teach Yourself

  1. 320 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Understand Statistics: Teach Yourself

Book details
Table of contents
Citations

About This Book

Do you want to better understand the statistics you hear everyday - and recognise if you're being misled? Here is a straightforward introduction to the principles of this vital field of mathematics. Assuming minimal knowledge and using examples from a wide variety of everyday contexts, this book makes even complex concepts and techniques easy to grasp.NOT GOT MUCH TIME?
One, five and ten-minute introductions to key principles to get you started.AUTHOR INSIGHTS
Lots of instant help with common problems and quick tips for success, based on the author's many years of experience.TEST YOURSELF
Tests in the book and online to keep track of your progress.EXTEND YOUR KNOWLEDGE
Extra online articles at www.teachyourself.com to give you a richer understanding of psychology.FIVE THINGS TO REMEMBER
Quick refreshers to help you remember the key facts.TRY THIS
Innovative exercises illustrate what you've learnt and how to use it.

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Yes, you can access Understand Statistics: Teach Yourself by Alan Graham in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Teach Yourself
Year
2010
ISBN
9781444130997
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Cover 
  2. Title
  3. Contents 
  4. Acknowledgements
  5. Meet the author
  6. Introduction
  7. 1 Introducing statistics
  8. 2 Some basic maths
  9. 3 Graphing data
  10. 4 Choosing a suitable graph
  11. 5 Summarizing data
  12. 6 Lies and statistics
  13. 7 Choosing a sample
  14. 8 Collecting information
  15. 9 Spreadsheets to the rescue
  16. 10 Reading tables of data
  17. 11 Regression: describing relationships between things
  18. 12 Correlation: measuring the strength of a relationship
  19. 13 Chance and probability
  20. 14 Probability models
  21. 15 Deciding on differences
  22. Taking it further
  23. Appendix
  24. Copyright