Step 1: Compute \( P(A) \).
The total sample space for rolling two dice is \( 6 \times 6 = 36 \).
Event \( A \) consists of pairs where \( x + y = 9 \):
\[
(3,6), (4,5), (5,4), (6,3).
\]
So,
\[
P(A) = \frac{4}{36} = \frac{1}{9}.
\]
Step 2: Compute \( P(B) \).
Event \( B \) consists of all outcomes where \( x \neq 3 \), meaning that \( x \) can take values \( \{1,2,4,5,6\} \) (5 choices for \( x \), each paired with 6 possible \( y \) values):
\[
\text{Total favorable outcomes} = 5 \times 6 = 30.
\]
Thus,
\[
P(B) = \frac{30}{36} = \frac{5}{6}.
\]
Step 3: Compute \( P(A \cap B) \).
Find outcomes in both \( A \) and \( B \):
\[
A = \{(3,6), (4,5), (5,4), (6,3)\}.
\]
Since \( B \) excludes outcomes where \( x = 3 \), the valid outcomes are:
\[
(4,5), (5,4), (6,3).
\]
Thus,
\[
P(A \cap B) = \frac{3}{36} = \frac{1}{12}.
\]
Step 4: Check Independence.
Events \( A \) and \( B \) are independent if:
\[
P(A \cap B) = P(A) \cdot P(B).
\]
Computing:
\[
\frac{1}{12} \neq \frac{1}{9} \times \frac{5}{6} = \frac{5}{54}.
\]
Since \( P(A \cap B) \neq P(A)P(B) \), events \( A \) and \( B \) are not independent.
Step 5: Check Mutual Exclusivity.
Events are mutually exclusive if \( P(A \cap B) = 0 \). Since \( P(A \cap B) = \frac{1}{12} \neq 0 \), \( A \) and \( B \) are not mutually exclusive.
Final Conclusion: \( A \) and \( B \) are neither independent nor mutually exclusive.