A large corporation employs 25030 individuals. The average income of all employees is $80607, with a standard deviation of $18184 and is skewed to the right. Consider this to be the population distribution. You are given a data set consisting of the incomes of 60 randomly selected employees. • The population mean is pu = • The population standard deviation is o = • The sample size is n = • Since the sample size is relatively large, the Central Limit Theorem tells us that the sample averages should have a sampling distribution that is (O skewed to the rightO approximately normal). • The sampling distribution of the sample means is centered at the (O populationO sample) mean. • The sampling distribution has a standard deviation of SD Round to two Vn decimal places.

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A large corporation employs 25030 individuals. The average
income of all employees is $80607, with a standard
deviation of $18184 and is skewed to the right. Consider
this to be the population distribution.
You are given a data set consisting of the incomes of 60
randomly selected employees.
• The population mean is p
• The population standard deviation is o =
• The sample size is n
• Since the sample size is relatively large, the Central
Limit Theorem tells us that the sample averages
should have a sampling distribution that is (O
skewed to the rightO approximately normal).
• The sampling distribution of the sample means is
centered at the (O populationO sample) mean.
• The sampling distribution has a standard deviation
of SD =
Vn
decimal places.
Round to two
Transcribed Image Text:A large corporation employs 25030 individuals. The average income of all employees is $80607, with a standard deviation of $18184 and is skewed to the right. Consider this to be the population distribution. You are given a data set consisting of the incomes of 60 randomly selected employees. • The population mean is p • The population standard deviation is o = • The sample size is n • Since the sample size is relatively large, the Central Limit Theorem tells us that the sample averages should have a sampling distribution that is (O skewed to the rightO approximately normal). • The sampling distribution of the sample means is centered at the (O populationO sample) mean. • The sampling distribution has a standard deviation of SD = Vn decimal places. Round to two
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