QUESTION: A friend tosses two coins, and you ask “Is one of them a heads?” The friend replies “Yes.” What is the probability that the other is a heads? ANSWER: One-third. There are four ways the coins could have landed originally: HH: 0.25 probability HT 0.25 probability TH 0.25 probability TT Continue reading “Problem of the Week: The Second Heads”
Daily Archives: August 13, 2019
Aug 13: Statistics in Practice
This week we discuss the distinction between explanatory and predictive modeling and spotlight the workhorses of statistical modeling: Oct 4 – Nov 1: Regression Analysis Oct 4 – Nov 1: Categorical Data Analysis See you in class! – Peter Bruce, Chief Academic Officer, Author, Instructor, and Founder The Institute for Statistics Education at Statistics.com Explain or Predict? Are you flummoxed by the profusion ofContinue reading “Aug 13: Statistics in Practice”
Explain or Predict?
A casual user of machine learning methods like CART or naive Bayes is accustomed to evaluating a model by measuring how well it predicts new data. When examining the output of statistical models, they are often flummoxed by the profusion of assessment metrics. Typical multiple linear regression output will contain, in addition to a distributionContinue reading “Explain or Predict?”