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The odds against an event is 7: 4 and the odds in favour of another event is 8: 5. If both the events are independent, then the probability that at least one of the event will happen is:
14388тАЛ
14376тАЛ
14335тАЛ
143108тАЛ
143108тАЛ
Calculate the probability of non-occurrence for both events (P(Ac)=7+47тАЛ=117тАЛ and P(Bc)=8+55тАЛ=135тАЛ) and subtract their product from 1.
Odds against event A = 7:4, odds in favour of event B = 8:5.
P(AтИкB)=1тИТP(Ac)├ЧP(Bc)
Calculate the probability of non-occurrence for both events (P(Ac)=7+47тАЛ=117тАЛ and P(Bc)=8+55тАЛ=135тАЛ) and subtract their product from 1.
Confusing 'odds against' with 'odds in favour' and forgetting to calculate the complement (P(Ac) instead of P(A)).
Calculate probabilities of non-occurrence
For event A, odds against are 7:4, so P(Ac)=7+47тАЛ=117тАЛ. For event B, odds in favour are 8:5, so the probability of event B is 138тАЛ, meaning P(Bc)=1тИТ138тАЛ=135тАЛ.
P(Ac)=117тАЛ,P(Bc)=135тАЛ
Find probability that neither event occurs
Since the events are independent, the probability that neither occurs is the product of their individual complement probabilities.
P(AcтИйBc)=117тАЛ├Ч135тАЛ=14335тАЛ
Calculate probability of at least one event
The probability that at least one event occurs is the complement of the probability that neither event occurs.
P(AтИкB)=1тИТ14335тАЛ=143143тИТ35тАЛ=143108тАЛ
D is correct because the calculated probability of at least one event occurring is 143108тАЛ.
This concept of '1 - P(none)' is a standard technique in binomial distribution problems and reliability engineering to quickly find the probability of 'at least one success'.