Using the GSS2012, we found that the mean number of hours worked last week was 39.28, with a standard deviation of 16.52 hours, based on a sample size of 1,000. Assume our data are normally distributed. a) Assume that hours worked isapproximately normally distributedin the sample. Whatis the probability that someone in the sample will work 60 hours or more in a week? How many people in the sample should have worked 60 hours or more? b) What is the probability that someone will work 30 hours or fewer in a week (i.e., workpart time)? How many people does this represent in the sample? c) What number of hours worked per week corresponds to the 60th percentile? d) Construct and interpret an estimate of the population at the 95% level.

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Using the GSS2012, we found that the mean number of hours worked last week was 39.28, with a standard deviation of 16.52 hours, based on a sample size of 1,000. Assume our data are normally distributed.

a) Assume that hours worked isapproximately normally distributedin the sample. Whatis the probability that someone in the sample will work 60 hours or more in a week? How many people in the sample should have worked 60 hours or more?

b) What is the probability that someone will work 30 hours or fewer in a week (i.e., workpart time)? How many people does this represent in the sample?

c) What number of hours worked per week corresponds to the 60th percentile?

d) Construct and interpret an estimate of the population at the 95% level.

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