A large corporation employs 19185 individuals. The average income of all employees is $70616, with a standard deviation of $19414 and is skewed to the right. Consider this to be the population...

A large corporation employs 19185 individuals. The average income of all employees is $70616, with a standard deviation of $19414 and is skewed to the right. Consider this to be the population distribution.

You are given a data set consisting of the incomes of 120 randomly selected employees.

Extracted text: A large corporation employs 19185 individuals. The average income of all employees is $70616, with a standard deviation of $19414 and is skewed to the right. Consider this to be the population distribution. You are given a data set consisting of the incomes of 120 randomly selected employees. • The population mean is µ = • 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 right 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 Round to two decimal places.