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The art of statistic : how to learn from data / David J. Spiegelhalter

By:

Spiegelhalter, D.J [author]

Material type:

TextPublication details: New York : Basic Books, c2019Edition: First editionDescription: xvi, 426 pages : illustrations ; 25 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781541675704

Subject(s):

Statistics -- Popular works

LOC classification:

QA276.12 .S65 2019

Contents:

Introduction Getting things done in proportion : categorical data and percentages -- 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 --

Summary: 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.--

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Books	High School Learning Resource Center General Circulation				QA276.12 .S65 2019 (Browse shelf(Opens below))				1	Available			HS14307

Includes bibliographical references (pages 407-418) and index.

Introduction Getting things done in proportion : categorical data and percentages --
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 --

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.--

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