To determine if events A and B are independent, we need to check if the probability of both events occurring together, P(A and B), satisfies the condition for independence:
\[ P(A \text{ and } B) = P(A) \times P(B) \]
Given:
- \( P(A) = 51% = 0.51 \)
- \( P(B) = 65% = 0.65 \)
Now, we calculate \( P(A) \times P(B) \):
\[ P(A) \times P(B) = 0.51 \times 0.65 \]
Calculating this:
\[ 0.51 \times 0.65 = 0.3315 \]
Converting back to percentage form:
\[ 0.3315 = 33.15% \]
Thus, for events A and B to be independent, \( P(A \text{ and } B) \) must equal 33.15%.
Therefore, among the responses given, the closest option corresponding to this is:
33%.