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Thinking Clearly with Data : A Guide to Quantitative Reasoning and Analysis...
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Numero oggetto eBay:177365705731
Specifiche dell'oggetto
- Condizione
- ISBN
- 9780691214351
Informazioni su questo prodotto
Product Identifiers
Publisher
Princeton University Press
ISBN-10
0691214352
ISBN-13
9780691214351
eBay Product ID (ePID)
3050082431
Product Key Features
Number of Pages
400 Pages
Language
English
Publication Name
Thinking Clearly with Data : a Guide to Quantitative Reasoning and Analysis
Subject
Methodology, Sociology / General, General, Data Processing
Publication Year
2021
Type
Textbook
Subject Area
Political Science, Computers, Social Science
Format
Trade Paperback
Dimensions
Item Height
1 in
Item Weight
25.8 Oz
Item Length
10 in
Item Width
7 in
Additional Product Features
Intended Audience
College Audience
LCCN
2021-011897
Dewey Edition
23
Reviews
"I very much recommend this book, not only to all that teach statistics to (under)graduate students, but also those that use statistics for their own research, that would like to value the work of others, or engage in debates using actual or perceived facts." ---Gijs Dekkers, International Statsitical Review
Illustrated
Yes
Dewey Decimal
302.015195
Synopsis
An engaging introduction to data science that emphasizes critical thinking over statistical techniques 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. Above all else, Thinking Clearly with Data demonstrates why, despite the many benefits of our data-driven age, data can never be a substitute for thinking. An ideal textbook for introductory quantitative methods courses in data science, statistics, political science, economics, psychology, sociology, public policy, and other fields Introduces the basic toolkit of data analysis--including sampling, hypothesis testing, Bayesian inference, regression, experiments, instrumental variables, differences in differences, and regression discontinuity Uses real-world examples and data from a wide variety of subjects Includes practice questions and data exercises
LC Classification Number
HM535.B84 2021
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