Here is my approach
Remember: Events A and B are independent then P(A∩B) = P(A) · P(B)
Note: P(A) is the probability of event A occur
P(A') is the probability of event A NOT occur (1-P(A)
P(B) is the probability of event B occur
P(B') is the probability of event B NOT occur (1-P(B)
Having: A and B occur independently of one another (A occur not depend on B)=> P(A and B) = P(A)*P(B)
=> A' and B' occur independently (or P(A' and B') = P(A')*P(B'))
A and B' occur independently (or P(A and B') = P(A)*P(B'))
B and A' occur independently (or P(B and A') = P(B)*P(A'))
On the question:
1. The probability that
neither event occurs (P(A' and B')) is 6 times the probability that
both events occur(P(A and B)).
\(=> P(A' and B') = 6*P(A and B)\\
<=>P(A')*P(B') = 6*P(A)*P(B)
(1)\)
2. the probability that event
B occurs
and event
A does not occur(
P(B and A')) is 50 percent greater than the probability that event
A occurs but event
B does not occur (P(A and B'))
=> P(B and A') is 50% greater than P(A and B')
So if P(A and B') is 100% then P(B and A') is 100%+50% = 150% P(A and B')
=> P(B and A') = 150% P(A and B')
<=> P(B)*P(A') = 150%P(A)*P(B')
(2)From (1) (2), divide (1) by (2)
\(\frac{P(A')*P(B')}{(P(B)*P(A')} = \frac{6*P(A)*P(B)}{(150%*P(A)*P(B')}\)
\(<=> \frac{P(B')}{P(B)} = \frac{4*P(B)}{P(B')}\)
\(<=>\frac{P(B')^2}{P(B)^2} = 4\)
\(<=>\frac{P(B')}{P(B)} = 2\)
<=> P(B') = 2P(B)
Having P(B)+P(B') = 1
=> P(B)+2P(B) = 1
=> 3P(B) = 1
=> P(B) = 1/3
Hence answer C