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.
Explanation:
We have these following probabilities:
A 26.6% probability that a randomly selected person aged 35 years or older is a jogger, so
.
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
.
The Bayes theorem states that:
![P(B/A) = (P(A \cap B))/(P(A))](https://img.qammunity.org/2020/formulas/mathematics/college/cklxk0iolovbxap6qwberlgaqob5ehd9tv.png)
In which
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
![P(A \cap B) = P(A).P(B/A) = 0.266*0.226 = 0.0601](https://img.qammunity.org/2020/formulas/mathematics/college/bziearl0qje042tmpmsq8wvnl20i5bofgs.png)
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.