Step 1 :We are given a random sample of size 31 which produced a mean of 87.44 and a standard deviation of 13.858. We are asked to determine a 90% confidence interval for the population mean.
Step 2 :The formula for the confidence interval for a population mean is \(\bar{x} \pm Z \frac{s}{\sqrt{n}}\), where \(\bar{x}\) is the sample mean, \(Z\) is the Z-score, \(s\) is the sample standard deviation, and \(n\) is the sample size.
Step 3 :In this case, we are asked to find the right endpoint of the 90% confidence interval, so we only need to add the margin of error to the sample mean.
Step 4 :The Z-score for a 90% confidence interval is approximately 1.645.
Step 5 :Substituting the given values into the formula, we get the margin of error as 4.0943561031761915.
Step 6 :Adding the margin of error to the sample mean, we get the right endpoint of the confidence interval as 91.53.
Step 7 :Final Answer: The right (upper) endpoint of the 90% confidence interval for the population mean is \(\boxed{91.53}\).