Final answer:
An 80% confidence interval of 172.3 to 175.5 seconds for drive-through service times means that the true average time likely falls within this range. Confidence intervals allow us to estimate population parameters like mean delivery times with a certain level of confidence, based on sample data.
Step-by-step explanation:
The provided confidence interval tells us that with 80% confidence, the true average drive-through service time falls between 172.3 seconds and 175.5 seconds. In other words, if we were to take many samples of 552 customers from this fast-food chain and compute a confidence interval for each sample, about 80% of these intervals would capture the true average service time.
Now let's apply this concept to the questions about pizza delivery times:
- If we change the sample size to 50 restaurants while maintaining the same sample mean of 36 minutes, the 90 percent confidence interval for the population mean delivery time would be recalculated using the larger sample size and would be narrower than that for a smaller sample size, given the same level of confidence and population standard deviation of 6 minutes.
- For a sample of 28 pizza delivery restaurants with a sample mean delivery time of 36 minutes, the 90 percent confidence interval would provide a range in which the true population mean delivery time is likely to fall, assuming a normally distributed population with a standard deviation of 6 minutes.
To conclude, confidence intervals give us a range of values within which we can be reasonably sure the true population parameter (in this case, mean delivery time) lies, based on our sample statistic and a certain level of confidence.