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.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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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.
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