Author:
Spiegelhalter, D. J. author.
Edition Statement:First US edition.
ImprintNew York : Basic Books, 2019.
Descriptionxvi, 426 pages : illustrations ; 25 cm
Note: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.
Bibliography Note:Includes bibliographical references and index.
Note: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.
