Answer:
There is a 6.01% probability that a randomly selected person aged 40 years or older is a female and jogs.
It would not be unusual to randomly select a person aged 40 years or older who is a female and jogs.
Step-by-step explanation:
We have these following probabilities:
A 26.6% probability that a randomly selected person aged 35 years or older is a jogger, so [tex]P(A) = 0.266[/tex].
A 22.6% probability that a randomly selected person aged 35 years or older is female, given that he or she jogs. I am going to say that P(B) is the probability that the person is a female. P(B/A) is the probability that the person is a female, given that he/she jogs. So [tex]P(B/A) = 0.226[/tex].
The Bayes theorem states that:
[tex]P(B/A) = \frac{P(A \cap B)}{P(A)}[/tex]
In which [tex]P(A \cap B)[/tex] is the probability that the person does both thigs, so, in this problem, the probability that a randomly selected person aged 40 years or older is a female and jogs.
So
[tex]P(A \cap B) = P(A).P(B/A) = 0.266*0.226 = 0.0601[/tex]
There is a 6.01% probability that a randomly selected person aged 40 years or older is a female and jogs.
A probability is unusual when it is smaller than 5%.
So it would not be unusual to randomly select a person aged 40 years or older who is a female and jogs.