Contents


[img]blob:https://bbs.pinggu.org/c9bcc7f1-0190-45de-b992-8ceedbcd3f9e[/img][img]blob:https://bbs.pinggu.org/52772b2e-11d0-44cf-98a3-21c9585856a1[/img][img]blob:https://bbs.pinggu.org/fd691a6c-0b15-4fd0-bdd2-01185439e5f9[/img][img]blob:https://bbs.pinggu.org/a6f6a905-43c0-4b8f-a445-76a9ecafdeec[/img]CHAPTER 1
Getting Things in Proportion: Categorical Data and Percentages
CHAPTER 2
Summarizing and Communicating Numbers. Lots of Numbers
CHAPTER 3
Why Are We Looking at Data Anyway? Populations and Measurement
CHAPTER 4
What Causes What?
CHAPTER 5
Modelling Relationships Using Regression
CHAPTER 6
Algorithms, Analytics and Prediction
CHAPTER 7
How Sure Can We Be About What Is Going On? Estimates and Intervals
CHAPTER 8
Probability – the Language of Uncertainty and Variability


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CHAPTER 9
Putting Probability and Statistics Together
CHAPTER 10
Answering Questions and Claiming Discoveries
CHAPTER 11
Learning from Experience the Bayesian Way
CHAPTER 12
How Things Go Wrong
CHAPTER 13
How We Can Do Statistics Better
CHAPTER 14
In Conclusion
GLOSSARY NOTES INDEX


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About the Author
Sir David John Spiegelhalter is a British statistician and Chair of the Winton Centre for Risk and Evidence Communication in the Statistical Laboratory at the University of Cambridge. Spiegelhalter is one of the most cited and influential researchers in his field, and was elected as President of the Royal Statistical Society for 2017–18.




To statisticians everywhere, with their endearing traits of pedantry, generosity, integrity, and desire to use data in the best way possible