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More Judgment Than Data : Data Literacy and Decision-Making

By: Michael Jones (Author)

Extended Catalogue

Ksh 20,500.00

Format: Hardback or Cased Book

ISBN-10: 3030994716

ISBN-13: 9783030994716

Edition statement: 2022 ed.

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Aug 24th, 2022

Publication Status: Active

Product extent: 160 Pages

Weight: 350.00 grams

Dimensions (height x width x thickness): 15.40 x 21.60 x 1.80 cms

Product Classification / Subject(s): Economic theory & philosophy
Probability & statistics
Databases

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  • Description

  • Reviews

More data has been produced in the 21st century than all of human history combined. To make better decisions, people need good judgment based on data literacy—the ability to extract meaning from data. Including data in the decision-making process can bring considerable clarity in answering our questions.

More data has been produced in the 21st century than all of human history combined. Yet, are we making better decisions today than in the past? How many poor decisions result from the absence of data? The existence of an overwhelming amount of data has affected how we make decisions, but it has not necessarily improved how we make decisions. To make better decisions, people need good judgment based on data literacy-the ability to extract meaning from data.

Including data in the decision-making process can bring considerable clarity in answering our questions. Nevertheless, human beings can become distracted, overwhelmed, and even confused in the presence of too much data. The book presents cautionary tales of what can happen when too much attention is spent on acquiring more data instead of understanding how to best use the data we already have. Data is not produced in a vacuum, and individuals who possess data literacy will understand the environment and incentives in the data-generating process. Readers of this book will learn what questions to ask, what data to pay attention to, and what pitfalls to avoid in order to make better decisions. They will also be less vulnerable to those who manipulate data for misleading purposes.


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