In: Statistics and Probability
Let A and B be two events in a sample with P(A)=0.4 and P(AuB)=0.7.Let P(B)=p
a)i For what value of p are A and B mutually exclusive?
ii for what value of p are A and B independent?
b) Assume that P(A)=0.4 and P(B)=0.3
i find P(B')
ii if A and B are mutually exclusive , what is P(A or B)
ii given that P(A or B)=0.6, Find the P(B/A)
c) suppose events A and B are such that P(A)=0.25,P(B) =0.33 and P(A|B)=0.5, Compute,
P(AnB) and P(AuB)
P(A) = 0.4
P(A U B) = 0.7
P(B) = p
a)
i) When A and B are mutually exclusive, P(A ∩ B) =
0
We know
P(A U B) = P(A) + P(B) - P(A ∩
B)
0.7 = 0.4 + p + 0
Hence, p = 0.7 - 0.4 = 0.3
p = 0.3
ii) When A and B are independent, P(A ∩ B) = P(A) *
P(B)
We know
P(A U B) = P(A) + P(B) - P(A ∩
B)
P(A U B) = P(A) + P(B) -
P(A)*P(B)
0.7 = 0.4 + p + 0.4*p
0.3 = p + 0.4p
1.4p = 0.3
p = 0.3/1.4
p = 0.2143
b) P(A) = 0.4
P(B) = 0.3
i) P(B') = 1 -
P(B)
= 1 -
0.3
=
0.4
P(B') =
0.4
ii) When A and B are mutually exclusive, P(A ∩ B) =
0
P(A or B) = P(A) + P(B) - P(A ∩
B)
= 0.4 + 0.4 - 0
= 0.8
P(A or B) = 0.8
iii) P(A or B) = 0.6
P(B|A) = P(A ∩ B) / P(A) …Baye's conditional
theorem
= 0.25
P(B|A) = 0.25
c) P(A) = 0.25
P(B) = 0.33
P(A | B) = 0.5
= 0.25 + 0.33 -
0.5*0.25
= 0.455
P(A ∩ B) = 0.455
P(A U B) = P(A) + P(B) - P(A ∩ B)
= 0.25 + 0.33 - 0.455
= 0.125
P(A U B) = 0.125