To determine whether events A (a student likes apples) and B (a student is in middle school) are independent, we will follow these steps:
- Find \( P(A) \), the overall probability that a student likes apples.
- Find \( P(B) \), the probability that a student is in middle school.
- Find \( P(A \cap B) \), the probability that a student is in middle school and likes apples.
- Check if \( P(A \cap B) = P(A) \times P(B) \). If this holds true, then A and B are independent.
From the data in the table:
- Total number of students = 300
- Students who like apples (Total) = 274
Thus,
\[ P(A) = \frac{\text{Number of students who like apples}}{\text{Total number of students}} = \frac{274}{300} \approx 0.9133 \]
Now, find \( P(B) \):
- Total middle school students = 100
Thus,
\[ P(B) = \frac{\text{Number of middle school students}}{\text{Total number of students}} = \frac{100}{300} = \frac{1}{3} \approx 0.3333 \]
Now, find \( P(A \cap B) \):
- Students in middle school who like apples = 92
Thus,
\[ P(A \cap B) = \frac{\text{Number of middle school students who like apples}}{\text{Total number of students}} = \frac{92}{300} \approx 0.3067 \]
Next, calculate \( P(A) \times P(B) \):
\[ P(A) \times P(B) = 0.9133 \times 0.3333 \approx 0.3044 \]
Finally, compare \( P(A \cap B) \) and \( P(A) \times P(B) \):
- \( P(A \cap B) \approx 0.3067 \)
- \( P(A) \times P(B) \approx 0.3044 \)
Since \( P(A \cap B) \neq P(A) \times P(B) \), events A and B are dependent.
Thus, the correct answer is:
No; the events are dependent because \( P(A) \approx 0.9133 \) and \( P(A \cap B) \approx 0.3067 \).