Collisions can be reduced by choosing a hash function randomly in a way that is independent of the keys that are actually to be stored.OptionsFalseTrue

Analysis of the Statement

1. Understanding Hash Functions: A hash function is a mathematical algorithm that transforms input data (or keys) into a fixed-size string of characters, which typically appears random. The main goal is to minimize collisions, where two different keys produce the same hash value.

2. Independence from Keys: The statement suggests that choosing a hash function randomly and independently of the keys can reduce collisions. If the hash function is genuinely random and not influenced by the specific set of keys, this could allow for a more uniform distribution of hash values.

Conclusion

Based on the properties of hash functions, the statement is generally True. Choosing a hash function randomly and independently should reduce the likelihood of collisions because it prevents any inherent biases that might arise from specific patterns in the keys being stored. Thus, the randomness of the hash function can aid in achieving better distribution among hash values.

Final Answer

True. Choosing a hash function randomly and independently can reduce collisions.