how to learn from data Spiegelhalter, D. J. creator author. text First US Trade Paperback edition. monographic eng

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xvi, 426 pages : illustrations ; 21 cm 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.-- Introduction -- Getting things done 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. David Spiegelhalter. Includes bibliographical references (pages 407-418) and index. Statistics Popular works QA276.12 .S654 2021 519.5 9781541675704 260226 20260226104925.0