A total of 38 people were seen in the drive-through clinic. For this sample of 38 patients, the mean time from admission to discharge was 26 minutes and the standard deviation was 1.57 minutes. Since the scenarios given to the 38 volunteers were thought to be representative of flu patients, the researchers thought it was reasonable to think of this sample as a random sample of flu patients. Because the sample size was greater than 30, it is reasonable to use a one-sample t interval to estimate the true mean time to process, diagnose, and treat a flu patient using the drive-through model. Go to the DCMP Inference for a Population Mean tool at https://domathpathways.shinyapps.io/Inference mean/ . Under the Confidence and Significance Tests tab: . Select "Summary Statistics" from the drop-down menu under Enter Data. Type in "Processing Time" for the name of the variable, and then enter the sample size and the sample mean and standard deviation for this example. . For Type of Inference, select "Confidence Interval." . Use the slider for the confidence level to select a 95% confidence level. Part A: Use the tool to calculate a 95% confidence interval for the mean time to process, diagnose, and treat a flu patient using the drive-through model. Part B: Interpret the confidence interval in the context of this question. Fill in the blanks. I am 96 confident that the mean processing time for flu patients seen in the drive- through model is between and Hint Be sure that your interpretation includes a clear reference to the population of interest