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3 cards from this section. Quick, good the night before a test.
What does Bayes’ Theorem help us to do?
Think about how new information affects our understanding.
What is P(A|B) in Bayes’ Theorem?
Focus on the conditional aspect of probabilities.
What does P(A|B) represent in Bayes' Theorem?
Review the definitions of conditional probabilities.
True or False: Bayes' Theorem only applies when the events are independent.
Think about how Bayes' theorem works to update beliefs.
A rare disease affects 0.1% of a population, and a test has a 99% true positive rate and a 5% false positive rate. If a person tests positive, what’s the probability they actually have the disease?
Break down the probabilities defined by the test’s accuracy and prevalence.
In a tech company, 70% of employees are developers. A developer has a 20% chance of supporting a new project idea. If you meet someone supporting the idea, what’s the probability they are a developer?
Think about each group's contribution to the total probability of support.
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