A large corporation employs 21780 individuals. The average income of all employees is $80877, with a standard deviation of $16560 and is skewed to the right. Consider this to be the population distribution. You are given a data set consisting of the incomes of 180 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 = Round to two decimal places.

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A large corporation employs 21780 individuals. The average income of all employees is $80877, with a standard
deviation of $16560 and is skewed to the right. Consider this to be the population distribution.
You are given a data set consisting of the incomes of 180 randomly selected employees.
- The population mean is u ==
• 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
decimal places.
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Transcribed Image Text:A large corporation employs 21780 individuals. The average income of all employees is $80877, with a standard deviation of $16560 and is skewed to the right. Consider this to be the population distribution. You are given a data set consisting of the incomes of 180 randomly selected employees. - The population mean is u == • 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 decimal places. Submit Question
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