The art of statistics : how to learn from data /
Spiegelhalter, D. J.,
The art of statistics : how to learn from data / David Spiegelhalter. - First US Trade Paperback edition. - xvi, 426 pages : illustrations ; 21 cm
Includes bibliographical references (pages 407-418) and index.
Getting things done in proportion : categorical data and percentages -- Introduction -- 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.
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.--
9781541675704
Statistics--Popular works.
QA276.12 / .S654 2021
519.5
The art of statistics : how to learn from data / David Spiegelhalter. - First US Trade Paperback edition. - xvi, 426 pages : illustrations ; 21 cm
Includes bibliographical references (pages 407-418) and index.
Getting things done in proportion : categorical data and percentages -- Introduction -- 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.
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.--
9781541675704
Statistics--Popular works.
QA276.12 / .S654 2021
519.5