Thinking clearly with data: a guide to quantitative reasoning and analysis
An introduction to data science or statistics shouldn't involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual understanding in order to teach students how to be better consumers and analysts of the kinds of quantitative information and arguments that they will encounter throughout their lives. A…
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- Full title :Thinking clearly with data : a guide to quantitative reasoning and analysis / Ethan Bueno de Mesquita, Anthony Fowler.
Summary
An introduction to data science or statistics shouldn't involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual understanding in order to teach students how to be better consumers and analysts of the kinds of quantitative information and arguments that they will encounter throughout their lives. Among much else, the book teaches how to assess whether an observed relationship in data reflects a genuine relationship in the world and, if so, whether it is causal; how to make the most informative comparisons for answering questions; what questions to ask others who are making arguments using quantitative evidence; which statistics are particularly informative or misleading; how quantitative evidence should and shouldn't influence decision-making; and how to make better decisions by using moral values as well as data. Filled with real-world examples, the book shows how its thinking tools apply to problems in a wide variety of subjects, including elections, civil conflict, crime, terrorism, financial crises, health care, sports, music, and space travel.
Read More ↓Edition Statements
- Publication Date:© 2021
Publication Statements
- Publisher(s):Princeton University Press
- Place of Publication:Princeton
- Language:eng
- Publication Date:© 2021
Notes
Literaturangaben, Index.
The Physical Object
- Description:xxi, 377 Seiten : Diagramme
Edition Identifiers
- ISBN:9780691214368, 0691214360, 9780691214351, 0691214352
- oclc:on1292516985
- LC Classification:HM535
- Dewey Decimal:302.01/5195
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