Final answer:
The 90% confidence interval for the average sales value of prescriptions indicates the range where the true population mean is likely to fall. Retail outlet's reported revenue is assessed by comparing it to a calculated range based on the confidence interval to determine if an audit is needed.
Step-by-step explanation:
A 90% confidence interval estimate for the true average sales value of prescriptions is a range of values derived from sample data, which we expect to contain the true population mean 90% of the time if we were to take many samples. The interpretation of this interval is: "We estimate with 90% confidence that the true population mean of prescription sales is between the lower and upper bounds of this interval."
When evaluating whether the retail outlet's reported revenue of $7,284 from 526 prescriptions is reasonable, we would calculate the expected total revenue using the upper and lower limits of the 90% confidence interval and compare them to the reported revenue. If the reported revenue falls outside this range, it may be an indicator that an audit is warranted.