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Statistics for Public Policy: A Practical Guide to Being Mostly Right (or at Least Respectably Wrong) - Tapa blanda
Sinopsis
A long-overdue guide on how to use statistics to bring clarity, not confusion, to policy work.
Statistics are an essential tool for making, evaluating, and improving public policy. Statistics for Public Policy is a crash course in wielding these unruly tools to bring maximum clarity to policy work. Former White House economist Jeremy G. Weber offers an accessible voice of experience for the challenges of this work, focusing on seven core practices:
Thinking big-picture about the role of data in decisions
Critically engaging with data by focusing on its origins, purpose, and generalizability
Understanding the strengths and limits of the simple statistics that dominate most policy discussions
Developing reasons for considering a number to be practically small or large
Distinguishing correlation from causation and minor causes from major causes
Communicating statistics so that they are seen, understood, and believed
Maintaining credibility by being right (or at least respectably wrong) in every setting Statistics for Public Policy dispenses with the opacity and technical language that have long made this space impenetrable; instead, Weber offers an essential resource for all students and professionals working at the intersections of data and policy interventions. This book is all signal, no noise.
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Acerca del autor
Jeremy G. Weber is professor in the University of Pittsburgh Graduate School of Public and International Affairs. He previously served as a chief economist for the White House Council of Economic Advisers.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Statistics for Public Policy: A Practical Guide to Being Mostly Right (or at Least Respectably Wrong)
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University of Chicago Press, 2024
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ISBN 13: 9780226830759
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Statistics for Public Policy: A Practical Guide to Being Mostly Right (or at Least Respectably Wrong)
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Statistics for Public Policy : A Practical Guide to Being Mostly Right, or at Least Respectably Wrong
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University of Chicago Press, 2024
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ISBN 13: 9780226830759
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Paperback. Condición: new. Paperback. A long-overdue guide on how to use statistics to bring clarity, not confusion, to policy work. Statistics are an essential tool for making, evaluating, and improving public policy. Statistics for Public Policy is a crash course in wielding these unruly tools to bring maximum clarity to policy work. Former White House economist Jeremy G. Weber offers an accessible voice of experience for the challenges of this work, focusing on seven core practices: Thinking big-picture about the role of data in decisions Critically engaging with data by focusing on its origins, purpose, and generalizability Understanding the strengths and limits of the simple statistics that dominate most policy discussions Developing reasons for considering a number to be practically small or large Distinguishing correlation from causation and minor causes from major causes Communicating statistics so that they are seen, understood, and believed Maintaining credibility by being right (or at least respectably wrong) in every setting Statistics for Public Policy dispenses with the opacity and technical language that have long made this space impenetrable; instead, Weber offers an essential resource for all students and professionals working at the intersections of data and policy interventions. This book is all signal, no noise. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780226830759
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Statistics for Public Policy : A Practical Guide to Being Mostly Right, or at Least Respectably Wrong
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ISBN 13: 9780226830759
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Statistics for Public Policy: A Practical Guide to Being Mostly Right (or at Least Respectably Wrong) (eng)
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Statistics for Public Policy: A Practical Guide to Being Mostly Right (or at Least Respectably Wrong)
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Statistics for Public Policy
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ISBN 10: 0226830756
ISBN 13: 9780226830759
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Paperback. Condición: New. A long-overdue guide on how to use statistics to bring clarity, not confusion, to policy work. Statistics are an essential tool for making, evaluating, and improving public policy. Statistics for Public Policy is a crash course in wielding these unruly tools to bring maximum clarity to policy work. Former White House economist Jeremy G. Weber offers an accessible voice of experience for the challenges of this work, focusing on seven core practices: Thinking big-picture about the role of data in decisions Critically engaging with data by focusing on its origins, purpose, and generalizability Understanding the strengths and limits of the simple statistics that dominate most policy discussions Developing reasons for considering a number to be practically small or large Distinguishing correlation from causation and minor causes from major causes Communicating statistics so that they are seen, understood, and believed Maintaining credibility by being right (or at least respectably wrong) in every setting Statistics for Public Policy dispenses with the opacity and technical language that have long made this space impenetrable; instead, Weber offers an essential resource for all students and professionals working at the intersections of data and policy interventions. This book is all signal, no noise. Nº de ref. del artículo: LU-9780226830759
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Statistics for Public Policy
Publicado por
The University of Chicago Press, US, 2024
ISBN 10: 0226830756
ISBN 13: 9780226830759
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Paperback. Condición: New. A long-overdue guide on how to use statistics to bring clarity, not confusion, to policy work. Statistics are an essential tool for making, evaluating, and improving public policy. Statistics for Public Policy is a crash course in wielding these unruly tools to bring maximum clarity to policy work. Former White House economist Jeremy G. Weber offers an accessible voice of experience for the challenges of this work, focusing on seven core practices: Thinking big-picture about the role of data in decisions Critically engaging with data by focusing on its origins, purpose, and generalizability Understanding the strengths and limits of the simple statistics that dominate most policy discussions Developing reasons for considering a number to be practically small or large Distinguishing correlation from causation and minor causes from major causes Communicating statistics so that they are seen, understood, and believed Maintaining credibility by being right (or at least respectably wrong) in every setting Statistics for Public Policy dispenses with the opacity and technical language that have long made this space impenetrable; instead, Weber offers an essential resource for all students and professionals working at the intersections of data and policy interventions. This book is all signal, no noise. Nº de ref. del artículo: LU-9780226830759
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