Which chart shows the average number of queued SQL statements in each consumer group?

The chart that accurately represents the average number of queued SQL statements in each consumer group is the one that specifically focuses on queued statements. This chart provides insight into the SQL statements that are waiting for resources to be executed, which is crucial for understanding performance bottlenecks within a database environment.

When analyzing performance, it is essential to identify not only how many SQL statements are being executed but also how many are waiting to be executed, as this indicates potential competition for resources (like CPU, memory, and I/O). The ability to view the average number of queued statements helps database administrators optimize performance, ensuring that the system is efficiently handling loads across different consumer groups.

In contrast, the other options primarily focus on the execution and response time of SQL statements. For instance, the charts displaying average response time or running statements provide metrics about statements that are currently being processed rather than those that are waiting. Therefore, they do not capture the critical aspect of queuing, which can significantly impact overall system performance.