Overview
This worksheet applies Bayes’ theorem to determine the probability that an email is spam based on specific words such as “shipping!”, “today!”, “here!”, “available,” and “fingertips!”. Students calculate and compare spam versus ham probabilities, identify which words are stronger spam indicators, and explain how Bayes’ theorem supports spam filter accuracy. has to be done in excel with problems showing work for each equation.