In earlier sections, we learned how to find probabilities of events and compound events. In this section, we’ll continue building on our knowledge of probability by considering the likelihood of events that are linked to another event that is known to have occurred. For instance, if a person is male, how likely is it that they own a smart phone? Or if a tax return results in a refund, what is the probability that it was examined by the IRS? Questions like this where an event is known to occur and we want to find the likelihood of another event lead us to conditional probabilities.
Read in Section 7.3
- What is conditional probability?
- How is conditional probability computed?
- What are independent events?
- What is the product rule for probability?
- How is Bayes’ Rule used to compute conditional probability?
Section 7.3 Workbook (PDF) – 9/4/19