Final answer:
Batch processing is typically more efficient than real-time systems in terms of processing costs for large volumes of transactions as it handles data in groups at scheduled times, not requiring immediate processing.
Step-by-step explanation:
The statement that processing more transactions at a lower unit cost makes batch processing more efficient than real-time systems is true in the context that batch processing can handle large volumes of transactions at once, typically using fewer resources per transaction, which usually translates into lower costs per transaction. Batch processing systems are designed to process data in groups or batches at scheduled times, which is why they tend to be more efficient for operations that do not require immediate processing or real-time responses.
On the contrary, real-time systems process data as soon as it becomes available, necessitating a continuous operation that can often be more resource-intensive. Therefore, for organizations that need to process large amounts of data where real-time interaction is not critical, batch processing could indeed be a more cost-effective solution.