Naked Statistics: Stripping the Dread from the Data

Charles Wheelan

57 pages 1-hour read

Charles Wheelan

Naked Statistics: Stripping the Dread from the Data

Nonfiction | Reference/Text Book | Adult | Published in 2012

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Book Brief

Charles Wheelan

Naked Statistics

Nonfiction | Reference/Text Book | Adult | Published in 2012
Book Details
Pages

304

Format

Reference/Text Book • Nonfiction

Genre
Business/Economics

Technology

Science
Theme
Appearance & Reality

Social Class

Community
Publication Year

2012

Audience

Adult

Recommended Reading Age

18+ years

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Super Short Summary

Naked Statistics by Charles Wheelan demystifies statistical concepts using clear, accessible language. The book guides individuals in understanding data analysis and interpreting statistical information. It incorporates real-world examples and practical applications, aiming to empower readers with the tools to make informed decisions in various fields.

Informative

Humorous

Challenging

Reviews & Readership

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Review Roundup

Naked Statistics by Charles Wheelan is praised for its engaging and accessible approach to making complex statistical concepts understandable for non-experts. Readers appreciate the humor and real-world examples. However, some criticize its depth, noting it may be too simplistic for advanced readers. Overall, it's viewed as an excellent introduction to statistics.

Who should read this

Who Should Read Naked Statistics?

A reader who enjoys Naked Statistics by Charles Wheelan likely appreciates demystifying complex topics with humor. Similar to those who favor Freakonomics, they’re intellectually curious, enjoy real-world applications of statistics, and seek engaging narratives to explain analytical concepts.

Key Figures

A senior lecturer in public policy at Dartmouth College, known for translating complex statistical concepts for general audiences, aiming to increase statistical literacy.

An influential American labor economist whose work is used to demonstrate the importance of careful statistical inference in overturning conventional wisdom.

An MIT professor and Nobel laureate, recognized for using randomized controlled trials to provide clear evidence for anti-poverty interventions.

A British epidemiologist whose Whitehall studies serve as a foundational case for using multivariate regression to explore social determinants of health.

A critic of conventional financial risk models, known for highlighting the limitations of models in predicting highly improbable, high-impact events.

A UCLA economist whose research exemplifies using natural experiments to isolate causal effects, particularly in the relationship between education and mortality rates.

A physician-scientist who highlights issues such as publication bias and false positives, advocating for greater transparency and rigor in scientific research.

Book Details
Pages

304

Format

Reference/Text Book • Nonfiction

Genre
Business/Economics

Technology

Science
Theme
Appearance & Reality

Social Class

Community
Publication Year

2012

Audience

Adult

Recommended Reading Age

18+ years

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