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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. • The population mean is u = 70616 • The population standard deviation is o = 19414 • The sample size is n = 120 • 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 • The sampling distribution of the sample means is centered at the (O population sample) mean. approximately normal). • The sampling distribution has a standard deviation of Round to two decimal places.

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 = 70616 • The population standard deviation is o = 19414 • The sample size is n = 120 • 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 • The sampling distribution of the sample means is centered at the (O population sample) mean. approximately normal). • The sampling distribution has a standard deviation of Round to two decimal places.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Continuation from previous question.. please answer the last 3 questions 

1) Since the sample size is relatively large, the Central Limit Theorem tells us that the sample averages should have a sampling distribution that is

2)The sampling distribution of the sample means is centered at the

3) The sampling distribution has a standard deviation of  . Round to two decimal places.

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 p = 70616 • The population standard deviation is o = 19414 • The sample size is n = 120 • 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 p = 70616 • The population standard deviation is o = 19414 • The sample size is n = 120 • 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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