To determine whether events [tex]\( A \)[/tex] and [tex]\( B \)[/tex] are independent or dependent, we need to compare the probability [tex]\( P(A \mid B) \)[/tex] (the probability that Edward purchases a video game given that Greg has purchased a video game) with [tex]\( P(A) \)[/tex] (the probability that Edward purchases a video game).
Given:
- [tex]\( P(A) = 0.67 \)[/tex] (the probability that Edward purchases a video game)
- [tex]\( P(B) = 0.74 \)[/tex] (the probability that Greg purchases a video game)
- [tex]\( P(A \mid B) = 0.67 \)[/tex] (the probability that Edward purchases a video game, given that Greg has purchased a video game)
Events [tex]\( A \)[/tex] and [tex]\( B \)[/tex] are independent if and only if:
[tex]\[ P(A \mid B) = P(A) \][/tex]
In this case:
[tex]\[ P(A \mid B) = 0.67 \][/tex]
[tex]\[ P(A) = 0.67 \][/tex]
Since [tex]\( P(A \mid B) \)[/tex] equals [tex]\( P(A) \)[/tex], the events [tex]\( A \)[/tex] and [tex]\( B \)[/tex] are independent.
Therefore, the correct statement is:
A. Events [tex]\( A \)[/tex] and [tex]\( B \)[/tex] are independent because [tex]\( P(A \mid B) = P(A) \)[/tex]