Answer:
Explanation:
Let P(H) be the probability that he is accepted by Harvard
Let P(D) be the probability that he is accepted by Dartmouth
Let P(HnD) be the probability that he is accepted by Harvard and Dartmouth
Given data
P(H) = 0.3
P(D) = 0.5
P(DnH) = 0.2
To get the probability that he is accepted by Dartmouth if he is accepted by Harvard, can be gotten using the conditional probability formula.
P(D|H) = P(DnH)/P(H)
P(D|H) = 0.2/0.3
P(D|H) = 2/10/÷3/10
P(D|H) = 2/10×10/3
P(D|H) 2/3
b) The two events are independent if the occurrence of an event does not affect the other occurring. For the two events to be independent then;
P(DnH) = P(D)P(H)
Given P(D) = 0.5 and P(H) = 0.3
P(D)P(H) = 0.5 × 0.3
P(D)P(H) = 0.15
And since P(DnH) = 0.2, hence P(DnH) ≠ P(D)P(H)
This means that the event "accepted at Harvard" IS NOT independent of the event "accepted at Dartmouth" since the two values are not equal.