A large corporation employs 22125 individuals. The average income of all employees is S65398, with a standard deviation of $19195 and is skewed to the right. Consider this to be the population distribution. You are given a data set consisting of the incomes of 50 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 population sample) mean. • The sampling distribution has a standard deviation of SD Round to two decimal places.

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A large corporation employs 22125 individuals. The average income of all employees is S65398, with a standard deviation of $19195 and is
skewed to the right. Consider this to be the population distribution.
You are given a data set consisting of the incomes of 50 randomly selected employees.
• The population mean is u
• The population standard deviation is o =
The sample size is
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.
Transcribed Image Text:A large corporation employs 22125 individuals. The average income of all employees is S65398, with a standard deviation of $19195 and is skewed to the right. Consider this to be the population distribution. You are given a data set consisting of the incomes of 50 randomly selected employees. • The population mean is u • The population standard deviation is o = The sample size is 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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