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 u = • The population standard deviation is o = • The sample size is n =

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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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.

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.
Transcribed Image 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.
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