Simplify 6 - 2 3 + (-9 + 5) · 2.
2 answers:
You might be interested in
Answer:
0.1552
Step-by-step explanation:
Hi!
Give a random person, lets call:
D = the person has the disease
¬D = the person doesnt have the disease
T = the test on this person is positive (detects the disease)
¬T = the test on this person is negative
We are give the conditional probabilities:
P(T | D) = 0.9
P(¬T | ¬D) = 0.9
P(D) = 0.02
From those we know that:
P(T | ¬D) = 0.1
P(¬T | D) = 0.1
We must find P(D | T). For that we use Bayes theorem: