Answer :
This question has some data missing so I will first complete the data and than solve this problem
Given:
P(E 1) = 0.1, P(E 2) = 0.15, P(E 3) = 0.15, P(E 4) = 0.25, P(E 5) = 0.15, P(E 6) = 0.05, and P(E 7) = 0.15
and now the missing data which is
A = {E1, E4, E6}
B = {E2, E4, E7}
C = {E2, E3, E5, E7}
Answer:
a) Find P(A), P(B) and P(C)
As we know probability of all the events is the sum of probabilities of all events, so
P(A) = P(E1) + P(E4) +P(E6) = 0.1+0.25+0.05 = 0.40
P(B) = P(E2) + P(E4) +P(E7) = 0.15+0.25+0.15 = 0.75
P(C) = P(E2) + P(E3) +P(E5)+P(E7) = 0.15+0.15+0.15+0.15 = 0.60
b) Find P(AUB),
At first, we will find AUB which is
AUB = {E1, E2, E4, E6, E7}
Now, P(AUB)
P(AUB) = P(E1) + P(E2) +P(E4)+P(E6) +P(E7) = 0.1+0.15+0.25+0.05+0.15
P(AUB) = 0.70
c) Find P(A∩B),
At first, we will find A∩B which is
A∩B = {E4}
Now, P(AUB)
P(A∩B) = P(E4) = 0.25
d) Find A and C are mutually exclusive,
Two events are mutually exclusive if they do not have any outcome in common, and as we can see from A and C, no events are common between them,
So A and C are mutually exclusive
e) Find [tex]B^{c}[/tex] and P([tex]B^{c}[/tex])
[tex]B^{c}[/tex] represents the complement of B, which is defined as all the events which are not in B,
[tex]B^{c}[/tex] = {E1, E3, E5, E6}, and Now
P([tex]B^{c}[/tex]) = P(E1) + P(E3) +P(E5)+P(E6) = 0.1+0.15+0.15+0.05 = 0.45
P([tex]B^{c}[/tex]) = 0.45