Naked Statistics

Subjects

Description

Naked Statistics: Stripping the Dread from the Data by Charles Wheelan demystifies statistical analysis by replacing complex mathematical formulas with intuitive, real-world examples. Wheelan guides readers through foundational concepts—such as descriptive statistics, the Central Limit Theorem, correlation versus causation, and regression analysis—by applying them to familiar scenarios like the Monty Hall problem, Netflix algorithms, and the 2008 financial crisis. The book emphasizes data literacy, teaching readers how to interpret data accurately and spot the subtle ways statistics are manipulated by marketers, politicians, and the media. Ultimately, it serves as an accessible, highly readable primer for students, professionals, and general readers looking to master critical data concepts without the academic jargon.