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

By: Language: eng Publication details: New York : Basic Books, 2021.Description: 426 pages : illustrations ; 24 cmISBN:
  • 9781541675704
  • 1541675703
Subject(s): LOC classification:
  • QA 276.12 S755a 2021
Contents:
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.
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.
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Item type Current library Home library Collection Shelving location Call number Copy number Status Barcode
Libro Libro Biblioteca Juan Bosch Biblioteca Juan Bosch Humanidades Humanidades (4to. Piso) QA 276.12 S755a 2021 (Browse shelf(Opens below)) 1 Available 00000170028
Browsing Biblioteca Juan Bosch shelves, Shelving location: Humanidades (4to. Piso), Collection: Humanidades Close shelf browser (Hides shelf browser)
QA276.12 .R68 1981 | R884s 1981 Statistics without tears : a primer for non-mathematicians / QA 276.12 R813b 2002 Basic statistical methods and models for the sciences / QA 276.12 S648s 1985 Statistical reasoning / QA 276.12 S755a 2021 The art of statistics : how to learn from data / QA276.12 .U78 2002b Mind on statistics / QA 276.12 V873s 1993 Statistics / QA 276.18 E82e 2003 Estadística /

"Originally published in March 2019 by Pelican, an imprint of Penguin Books, in the United Kingdom"--Title page verso

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.

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.

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