In Naked Statistics, author Charles Wheelan attempts to convey the intuitions behind key statistical concepts such as inference, correlation and regression without burdening everyday readers with formulas and algorithms. Although targeted toward “those who slept through Stats 101,” the book may be of interest to more seasoned “dataphiles” for its wealth of anecdotes and stories that illustrate statistical thinking, including tales of Schlitz Beer marketers and Let’s Make a Deal contestants. Wheelan, a senior lecturer and policy fellow at Dartmouth College’s Rockefeller Center, also wrote the bestselling 2010 book Naked Economics: Undressing the Dismal Science.
Naked Statistics: Stripping the Dread from the Data
Travis Korte is a research analyst at the Center for Data Innovation specializing in data science applications and open data. He has a background in journalism, computer science and statistics. Prior to joining the Center for Data Innovation, he launched the Science vertical of The Huffington Post and served as its Associate Editor, covering a wide range of science and technology topics. He has worked on data science projects with HuffPost and other organizations. Before this, he graduated with highest honors from the University of California, Berkeley, having studied critical theory and completed coursework in computer science and economics. His research interests are in computational social science and using data to engage with complex social systems. You can follow him on Twitter @traviskorte.
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