Regression to the Mean

Chapter 17, "Regression to the mean”, (originally referred to as, regression to mediocrity”) illustrates how people mistakenly think that someone (e.g., athlete, interviewee, student, or trainee),  or something (e.g., stocks, horses in a race, business or team performance ) that performed especially well will maintain that performance. And someone or something that performed especially poorly …

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Statistics and Judgement

Chapter 16, Causes Trump Statistics (Kahneman, 2011), explores Bayesian inference on judgement. Again, interesting viewpoint of statistics from the judgement perspective instead of strictly from an applied experimental perspective. This chapter looks at a priori information’s influence on judgement. The influence of information that can psychologically influence what information is considered or given more weight. A …

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