Use the complement of a conditional probability
P(A′∣B)=1−P(A∣B) Given B, either A or A' occurs, so their conditional probabilities sum to 1.
Substitute the conditional probability
P(A′∣B)=1−107157=31 Subtracting P(A\mid B) from 1 gives the required conditional probability.
List the probabilities involved
P(A)=107, P(B)=107, P(A∩B)=157 Collecting the known probabilities keeps the working organised.
Apply the multiplication law
P(A∩B)=P(B)P(A∣B)=107×32=157 The multiplication law links the joint and conditional probabilities.
Find P(B\mid A)
P(B∣A)=P(A)P(A∩B)=107157=32 Conditioning on A instead of B reverses the roles of the events.
Apply the addition law
P(A∪B)=P(A)+P(B)−P(A∩B)=1514 The addition law subtracts the overlap so it is not counted twice.
Find the complement P(A')
P(A′)=1−P(A)=1−107=103 Complementary events have probabilities that sum to 1.
Find P(A'\mid B)
P(A′∣B)=1−P(A∣B)=1−32=31 Given B, the events A and A' partition the restricted sample space.
Test for independence
P(A)P(B)=107×107=10049 Independent events must satisfy P(A\cap B)=P(A)P(B).
Compare P(A\cap B) with P(A)P(B)
P(A∩B)=157, P(A)P(B)=10049 They are unequal, so A and B are not independent.
Find P(A\cap B')
P(A∩B′)=P(A)−P(A∩B)=107−157=307 Splitting A according to whether B occurs gives this region.
Find P(A'\cap B')
P(A′∩B′)=1−P(A∪B)=1−1514=151 Outside both events is the complement of their union.
Check the value is a valid probability
0≤32≤1 Every probability, conditional or not, lies between 0 and 1.
Confirm the joint probability is symmetric
P(A)P(B∣A)=157=P(B)P(A∣B) Both forms of the multiplication law give the same joint probability.
State the conditional probability
P(A′∣B)=31 This is the required probability.