Answer: No, A and B are not independent events.
∵ it does not satisfy the rule of probability for independent events i.e.
P(A∩B)=P(A).P(B)
Explanation:
Let A be the event that the black dice shows 2 or 5
Let B be the event that the sum of two dice is atleast 7
Sample space of A={
(
}
Sample space of B= {
,
,
}
P(A)= 
⇒P(A)=
⇒P(A)=
Similarly,
P(B)=
⇒ P(B) =
Now for Sample Space of (A∩B)= {
}
So, P(A∩B)= 
Now we apply the formula,
P(A).P(B)=P(A∩B)
×
≠ 
≠ 
∴ The events A and B are not independent events.