The art of statistics : how to learn from data

Summary: Shows how to apply statistical reasoning to real-world problems. This isn't simply memorizing formulas or using the tools in a spreadsheet; Spiegelhalter emphasizes the importance of clarifying questions, assumptions, and expectations, and-- more importantly-- knowing how to responsibly interpret the results the software generates.

Record details

ISBN: 9781541618510
ISBN: 1541618513
ISBN: 9781541618527 (ebook)
Physical Description: print
xvi, 426 pages : illustrations ; 25 cm
Edition: First US edition.
Publisher: New York NY : Basic Books, 2019.
Copyright: ©2019

Content descriptions

General Note:	"Originally published in March 2019 by Pelican, an imprint of Penguin Books, in the United Kingdom"--Title page verso.
Bibliography, etc. Note:	Includes bibliographical references and index.
Formatted Contents Note:	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.