Bayes Theorem explaination

Explaining problem(s) involving Bayes Theorem. It could also include the Law of Total Probability, but that is not required. The audience is a student who is familiar with probability but not Bayes Theorem.
Researching a real world example of an application of Bayes Theorem. Here are some examples, but there are many more
ïCOVID Testing: if someone tests positive, what is the probability the person has COVID?
ïRadar Gun: if a car is detected as speeding, what is the probability it was speeding?
ïDrug Testing: if a drug test is positive, what is the probability the person has used drugs?
*To receive the bonus points you must provide a link to your reference material, which must include the probabilities used in Bayes Theorem and those probabilities must be factual not hypothetical.

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