In this hashing scheme, the \(n\) keys are uniformly distributed across \(m\) hash table slots, with keys being assigned to different hash functions based on their parity.
Each hash function \(h_1\) and \(h_2\) independently maps keys to hash slots. This results in a uniform distribution of keys across the hash slots.
Thus, the expected number of keys per slot is the total number of keys divided by the number of slots, which is \( \frac{n}{m} \).
Hence, the expected number of keys in a slot is \( \frac{n}{m} \), which corresponds to (B).