{"product_id":"thinking-clearly-with-data-a-guide-to-quantitative-reasoning-and-analysis-9780691214351","title":"Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis","description":"\u003cp\u003e\u003cb\u003eAn engaging introduction to data science that emphasizes critical thinking over statistical techniques\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eAn 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, \u003ci\u003eThinking Clearly with Data\u003c\/i\u003e 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. \u003cp\u003e\u003c\/p\u003eAmong 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. \u003cp\u003e\u003c\/p\u003eAbove all else, \u003ci\u003eThinking Clearly with Data\u003c\/i\u003e demonstrates why, despite the many benefits of our data-driven age, data can never be a substitute for thinking.\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eAn ideal textbook for introductory quantitative methods courses in data science, statistics, political science, economics, psychology, sociology, public policy, and other fields\u003c\/li\u003e\n\u003cli\u003eIntroduces the basic toolkit of data analysis--including sampling, hypothesis testing, Bayesian inference, regression, experiments, instrumental variables, differences in differences, and regression discontinuity\u003c\/li\u003e\n\u003cli\u003eUses real-world examples and data from a wide variety of subjects\u003c\/li\u003e\n\u003cli\u003eIncludes practice questions and data exercises\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eEthan Bueno de Mesquita\u003c\/b\u003e 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 \u003ci\u003ePolitical Economy for Public Policy\u003c\/i\u003e and the coauthor of \u003ci\u003eTheory and Credibility: Integrating Theoretical and Empirical Social Science\u003c\/i\u003e (both Princeton). Twitter @ethanbdm \u003cb\u003eAnthony Fowler\u003c\/b\u003e is a professor at the Harris School of Public Policy at the University of Chicago.\u003cbr\u003e","brand":"Princeton University Press","offers":[{"title":"Default Title","offer_id":50660496245010,"sku":"9780691214351","price":38.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_be5cab3e-251d-478b-ba76-539272a36bac.jpg?v=1733475965","url":"https:\/\/surprise-castle.myshopify.com\/products\/thinking-clearly-with-data-a-guide-to-quantitative-reasoning-and-analysis-9780691214351","provider":"Surprise Castle","version":"1.0","type":"link"}