Assume that your favorite statistics professor (Who else, but me!) receives an average of five e-mail messages per day from stud
ents. If the number of messages approximates a Poisson distribution, what is the probability that on a randomly selected day your professor will have five messages?
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Answer:
P = 0.332
Step-by-step explanation:
The probability of having the disease is 0.08
The probability that the test predicts with accuracy is 0.7.
We need to find the probability that the test positive for the disease.
Several cases may occur.
Case 1.
You have the disease and the test predicts it accurately
Case 2
You do not have the disease and the test predicts that you have it
Then the probability that the test predicts that you have the disease is the union of both probabilities P1 and P2