(B), both Q and R always hold true.
Statement P:
\(X\) doesn't necessarily have to be a standard normal random variable (mean of 0 and variance of 1).
It could have a different mean or variance and still satisfy the condition that \(aX + bY\) is normal for all \(a, b \in \mathbb{R}\).
Therefore, P is not always true.
Statement Q:
If \(aX + bY\) is normal for all \(a, b\), then in particular, \(Y = 0 \cdot X + 1 \cdot Y\) is normal.
This implies that the conditional distribution of \(X\) given \(Y\) is also normal.
Therefore, Q is always true.
Statement R:
Similar to Q, if \(aX + bY\) is normal for all \(a, b\), then \(X + Y = 1 \cdot X + 1 \cdot Y\) is normal.
This implies that the conditional distribution of \(X + Y\) is normal.
Therefore, R is always true.
Statement S:
There's no guarantee that \(X - Y\) has mean 0.
It could have a non-zero mean and still satisfy the condition that \(aX + bY\) is normal for all \(a, b\).
Therefore, S is not always true.