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Probably Overthinking It
How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions
Buch von Allen B. Downey

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Beschreibung
"Teacher, data scientist, and blogger Allen B. Downey knows well that the human mind has both an innate ability to understand statistics and to be fooled by them. Statistically speaking, you will be less popular than your friends, arrive at a train station during a gap in service, and fail to find a running mate in a race. But more than surprising us, errors in statistical thinking, Downey shows, can have a huge impact. Statistical confusion has led to incorrect patient prognoses, caused mistakes in predicting disasters like earthquakes, hurt vaccination programs, hindered social justice efforts, and led to dubious policy decisions. Written for those who may have once taken a statistics course, but now forget almost everything they've learned, the book includes a diversity of examples that use real data and have real world impacts. Building understanding incrementally, Downey engagingly and accessibly helps readers understand what we might learn when we get the mathematics right, and the consequences when we get it all wrong"--
"Teacher, data scientist, and blogger Allen B. Downey knows well that the human mind has both an innate ability to understand statistics and to be fooled by them. Statistically speaking, you will be less popular than your friends, arrive at a train station during a gap in service, and fail to find a running mate in a race. But more than surprising us, errors in statistical thinking, Downey shows, can have a huge impact. Statistical confusion has led to incorrect patient prognoses, caused mistakes in predicting disasters like earthquakes, hurt vaccination programs, hindered social justice efforts, and led to dubious policy decisions. Written for those who may have once taken a statistics course, but now forget almost everything they've learned, the book includes a diversity of examples that use real data and have real world impacts. Building understanding incrementally, Downey engagingly and accessibly helps readers understand what we might learn when we get the mathematics right, and the consequences when we get it all wrong"--
Über den Autor
Allen B. Downey is a curriculum designer at the online learning company Brilliant and professor emeritus of computer science at Olin College. He is the author of Think Python, Think Bayes, and Think Stats, among other books. He writes about statistics and related topics on his blog, Probably Overthinking It.
Details
Erscheinungsjahr: 2023
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 256
ISBN-13: 9780226822587
ISBN-10: 0226822583
Einband: Gebunden
Autor: Downey, Allen B.
Hersteller: The University of Chicago Press
Maße: 233 x 156 x 24 mm
Von/Mit: Allen B. Downey
Erscheinungsdatum: 06.12.2023
Gewicht: 0,478 kg
preigu-id: 126787754
Über den Autor
Allen B. Downey is a curriculum designer at the online learning company Brilliant and professor emeritus of computer science at Olin College. He is the author of Think Python, Think Bayes, and Think Stats, among other books. He writes about statistics and related topics on his blog, Probably Overthinking It.
Details
Erscheinungsjahr: 2023
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 256
ISBN-13: 9780226822587
ISBN-10: 0226822583
Einband: Gebunden
Autor: Downey, Allen B.
Hersteller: The University of Chicago Press
Maße: 233 x 156 x 24 mm
Von/Mit: Allen B. Downey
Erscheinungsdatum: 06.12.2023
Gewicht: 0,478 kg
preigu-id: 126787754
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