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Explanation of Bayesian Statistics

Started by Charles Pegge, February 09, 2023, 01:16:57 PM

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Charles Pegge

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Assume we have a drug test that tests for cannabis use. Now, this test has a 90% True Positive rate, that is, 90% of the time, it will detect a cannabis user. It also has an 80% True Negative rate, that is, 80% of the time it will confirm that a person has NOT used Cannabis. Unfortunately, it also generates 20% False Positives. Given that 5% of all people tested are cannabis users, what is the probability that a person who tests positive for cannabis using this test is truly a cannabis user? I'll give you a hint to get started, the first branch of your tree should be the cannabis users.

A Simple Guide to Solving Bayes' Theorem Problems
https://towardsdatascience.com/simple-guide-to-solving-bayes-theorem-problems-a594edc3e245
2020