THE ART OF STATISTICS HOW TO LEARN FROM DATA

THE ART OF STATISTICS HOW TO LEARN FROM DATA

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 re...

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Bibliographic Details
Main Author: Spiegelhalter, D. J. (Author)
Format: Book
Language:English
Published: New York Basic Books 2019
Edition:First US edition
Subjects:
Statistics > Popular works
Online Access:Click Here to View Status and Holdings.
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245 1 4 |a THE ART OF STATISTICS  |b HOW TO LEARN FROM DATA  |c DAVID SPIEGELHALTER 
250 # # |a First US edition 
264 # 1 |a New York  |b Basic Books  |c 2019 
264 # 4 |c ©2019 
300 # # |a xvi, 426 pages  |b illustration  |c 25cm 
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500 # # |a "Originally published in March 2019 by Pelican, an imprint of Penguin Books, in the United Kingdom"--Title page verso 
504 # # |a Includes bibliographical references (pages 407-418) and index. 
505 0 # |a Introduction -- 1. Getting things in proportion: Categorical data and percentages -- 2. Summarizing and communicating numbers. Lots of numbers -- 3. Why are we looking at data anyway? Populations and measurement -- 4. What causes what? -- 5. Modelling relationships using regression -- 6. Algorithms, analytics and prediction -- 7. How sure can we be about what is going on? Estimates and intervals -- 8. Probability: The language of uncertainty and variability -- 9. Putting probability and statistics together -- 10. Answering questions and claiming discoveries -- 11. Learning from experience the Bayesian way -- 12. How things go wrong -- 13. How we can do statistics better -- 14. In conclusion. 
520 # # |a 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 results the software generates. 
526 0 # |a ICMXXX  |b IM245  |5 IM 
526 0 # |b Bachelor of Information Science (Hons) Information Systems Management  |5 Faculty of Information Management 
650 # 0 |a Statistics  |v Popular works 
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