Thinking Clearly with Data

Regular price €104.99
A01=Anthony Fowler
A01=Ethan Bueno de Mesquita
Absolute value
Accountability
Accuracy and precision
Age Group_Uncategorized
Age Group_Uncategorized
Algorithm
Ambivalence
Assertiveness
Author_Anthony Fowler
Author_Ethan Bueno de Mesquita
automatic-update
Behavior
Bodily integrity
Cartesian coordinate system
Category1=Non-Fiction
Category=GPH
Category=JHBC
Category=JPA
Causal inference
Cleanliness
Communication
COP=United States
Correlation and dependence
Correlation coefficient
Credibility
Data analysis
Data set
Debiasing
Decision-making
Deliberation
Deliberative democracy
Delivery_Delivery within 10-20 working days
Due process
Effective action
Efficiency
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Equal opportunity
Forecasting
Formality
Income
Information privacy
Inspection
Justice as Fairness
Language_English
Legitimation
Line Of Best Fit
Linear function
Linear regression
Logic
Measurement
Motivation
Objectivity (philosophy)
Openness
PA=Available
Participatory democracy
Percentage point
Personality
Personhood
Policy
Practical reason
Prediction
Price_€50 to €100
Privacy
Problem solving
Procedural justice
Proportionality (mathematics)
PS=Active
Public speaking
Quantitative analyst
Rationality
Reason
Reasonable person
Representativeness heuristic
Respect for persons
Right to life
Self-concept
Self-esteem
Self-organization
softlaunch
Statistic
Subjectivity
Thought
To This Day
Variable (mathematics)
Variance
Voter turnout
Voting

Product details

  • ISBN 9780691214368
  • Dimensions: 178 x 254mm
  • Publication Date: 16 Nov 2021
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
Delivery/Collection within 10-20 working days

Our Delivery Time Frames Explained
2-4 Working Days: Available in-stock

10-20 Working Days: On Backorder

Will Deliver When Available: On Pre-Order or Reprinting

We ship your order once all items have arrived at our warehouse and are processed. Need those 2-4 day shipping items sooner? Just place a separate order for them!

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
Ethan Bueno de Mesquita is the Sydney Stein Professor and deputy dean at the Harris School of Public Policy at the University of Chicago. He is the author of Political Economy for Public Policy and the coauthor of Theory and Credibility: Integrating Theoretical and Empirical Social Science (both Princeton). Twitter @ethanbdm Anthony Fowler is a professor at the Harris School of Public Policy at the University of Chicago.