Answer:
P(M | C) = 0.6.
P(C | M) = 0.2
Explanation:
We use the conditional probability formula to solve this question. It is

In which
P(B|A) is the probability of event B happening, given that A happened.
is the probability of both A and B happening.
P(A) is the probability of A happening.
So
P(M | C).

(d) Find P(C | M).
