Question #174273

Question 5

a) Explain the significance of P(A or B) = P(A) + P(B) – P(A and B) as addition rule in probability. At what stage would P(A or B) = P(A) + P(B), and what is the rationale behind this? CR (5 marks)


b) Forty-eight percent of all Californians registered voters prefer life in prison without parole over the death penalty for a person convicted of first-degree murder. Among Latino California registered voters, 55% prefer life in prison without parole over the death penalty for a person convicted of first-degree murder. 37.6% of all Californians are Latino. Let C = Californians (registered voters) preferring life in prison without parole over the death penalty for a person convicted of first-degree murder. Let L = Latino Californians. Suppose that one Californian is randomly selected. Determine P(C/L) and explain the reason behind your answer. AN (7 marks)


c) Explain the dichotomy between mutually exclusive event and dependent event in a probability distribution.


Expert's answer

a) The addition rule states the probability of two events is the sum of the probability that either will happen minus the probability that both will happen:

P(AB)=P(A)+P(B)P(AB)P(A\lor B)=P(A)+P(B)-P(A\land B)

If A and B are disjoint, then P(AB)=0P(A\land B)=0 ,

so the formula becomes P(AB)=P(A)+P(B)P(A\lor B)=P(A)+P(B) (events A and B cannot occur at the same time).


b) CLC|L  means, given the person chosen is a Latino Californian, the person is a registered voter who prefers life in prison without parole for a person convicted of first degree murder.

Using Multiplication Rule:


P(CL)=0.55=55%P(C|L)=0.55=55\%


c) Two events are mutually exclusive if the probability that they both happen at the same time is zero.

Dependent events: the occurrence of one event has effect on the probability of the occurrence of another event.


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