Art of Statistics: Learning from Data (Record no. 44338)

MARC details
000 -LEADER
fixed length control field 01579 a2200157 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780241258767
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5 SPI
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Spiegelhalter, David
245 ## - TITLE STATEMENT
Title Art of Statistics: Learning from Data
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Pelican Books
Place of publication, distribution, etc United Kingdom
Date of publication, distribution, etc 2019
300 ## - PHYSICAL DESCRIPTION
Extent 426
520 ## - SUMMARY, ETC.
Summary, etc Every day in the news, we are confronted with a mind-bending range of statistics about the economy, health, unemployment and more, and this information overload has only increased in the wake of the big data revolution. But data does not speak for itself. A basic grasp of statistical literacy is more important than ever in order to think critically about the world.<br/><br/>In Statistics: The Art of Learning from Data, David Spiegelhalter responds to the growing interest in data science by guiding the reader through the basic statistical principles we need in order not be misled by the numbers. He introduces the fundamental topics in modern statistics - such as data visualization, bias, variability, data-analytics, probability models, discovery, Bayesian inference, and reproducibility - without unnecessary technical detail or equations. Drawing on a range of intriguing contemporary examples and studies,<br/>Spiegelhalter uses real world issues to highlight the best (and worst) ways to approach statistical problems.<br/>Smart, accessible and packed with the essentials for students and statistics bewildered readers alike, this book will give you the basic principles for how to derive knowledge from data.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Regression
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

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