The art of statistics : how to learn from data / David Spiegelhalter.
Shows how to apply statistical reasoning to real-world problems. This isn't simply memorizing formulas or using the tools in a spreadsheet: he emphasizes the importance of clarifying questions, assumptions, and expectations, and--more importantly--knowing how to responsibly interpret the result...
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
New York :
Basic Books,
2019.
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| Edition: | First US edition. |
| Subjects: |
Table of Contents:
- Introduction
- Getting things in proportion : categorical data and percentages
- Summarizing and communicating numbers. Lots of numbers
- Why are we looking at data anyway? Populations and measurement
- What causes what?
- Modelling relationships using regression
- Algorithms, analytics and prediction
- How sure can we be about what is going on? Estimates and intervals
- Probability : the language of uncertainty and variability
- Putting probability and statistics together
- Answering questions and claiming discoveries
- Learning from experience the Bayesian way
- How things go wrong
- How we can do statistics better
- In conclusion.