Final answer:
A and B are dependent events, as the conditional probability of B given A is not equal to the probability of B.
Step-by-step explanation:
A and B are dependent events, as P(B|A) is not equal to P(B).
To determine whether events A and B are independent or dependent, we need to compare the conditional probability of B given A (P(B|A)) to the probability of B (P(B)). If P(B|A) = P(B), then the events are independent. However, if P(B|A) != P(B), then the events are dependent.
In this case, let's calculate the probabilities:
P(A) = Number of ways to select a dime / Total number of coins = 2 / 5 = 0.4
P(B|A) = Number of ways to select a dime as the second coin given that the first coin was a dime / Total number of coins remaining after selecting a dime in the first draw = 1 / 4 = 0.25
P(B) = Number of ways to select a dime / Total number of coins = 2 / 5 = 0.4
Since P(B|A) != P(B) (0.25 != 0.4), we can conclude that events A and B are dependent.