1. A university with a high water bill is interested in
estimating the mean amount of time that students spend in the
shower each day. In a sample of 11 students, the average time was
5.33 minutes and the standard deviation was 1.33 minutes. Using
this sample information, construct a 99% confidence interval for
the mean amount of time that students spend in the shower each day.
Assume normality.
a) What is the lower limit of the 99% interval? Give your answer to
three decimal places.
b) What is the upper limit of the 99% interval? Give your answer to
three decimal places.
2. A company produces a women's bowling ball that is supposed to
weigh exactly 14 pounds. Unfortunately, the company has a problem
with the variability of the weight. In a sample of 11 of the
bowling balls the sample standard deviation was found to be 0.71
pounds. Construct a 95% confidence interval for the variance of the
bowling ball weight. Assume normality.
a) What is the lower limit of the 95% interval? Give your answer to
three decimal places.
b) What is the upper limit of the 95% interval? Give your answer to
three decimal places.
c) Which of the following assumptions should be checked before
constructing the above confidence interval?
-the data need to be right skewed
-the data need to follow a normal distribution
-the data need to have small variance
-the data need to follow a chi-square distribution
c.
The data need to follow a normal distribution
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