Answer:
A) P(W) = 0.5
B) P(MF) = 0.3
C) P(H) = 0.6
Explanation:
We are told that there are two types of cellular phones which are handheld phones (H) that you carry and mobile phones (M) that are mounted in vehicles.
Also, Phone calls can be classified by the traveling speed of the user as fast (F) or slow (W).
Thus, the sample space is combination of types and classification we are given and it is written as;
S = {HF, HW, MF, MW}
A) Now, phones can either be fast(F) or slow(W). Thus, we can write;
P(F) + P(W) = 1
We are given P(F) = 0.5
Thus;
0.5 + P(W) = 1
P(W) = 1 - 0.5
P(W) = 0.5
B) Now, from the problem statement, a phone call can either be made with a handheld(H) or mobile(M). Thus the sample space partition is {H, M} and we can express as;
P(H ∩ F) + P(M ∩ F) = P(F)
We are given P[F] = 0.5 and P[HF] = 0.2.
P(H ∩ F) is same as P[HF]
Also, P(M ∩ F) is same as P(MF)
Thus;
0.2 + P(MF) = 0.5
P(MF) = 0.5 - 0.2
P(MF) = 0.3
C) Similarly, mobile Phone calls can either be fast or slow. It means the sample space partition is {F, W}
Thus;
P(M) = P(MW) + P(MF)
P(M) = 0.1 + 0.3
P(M) = 0.4
Now, since cellular phones can either be handheld(H) or Mobile(M), then we can say;
P(H) + P(M) = 1
P(H) + 0.4 = 1
P(H) = 1 - 0.4
P(H) = 0.6
