Consider the following situation: Doctors recommend having a total cholesterol level below 200 mg/dl. A large local company wants to test if their employees have a mean cholesterol level that is different from the recommended level. The company collects data from a random sample of 50 employees and finds that the mean cholesterol level of the employees in the sample is 256 mg/dl, with a sample standard deviation of 54.5 Which of the following hypothesis tests would be appropriate in this situation? 2-test for population mean paired t-test t-test for population mean two-sample t-test for population mean differences Ⓒ2-test for population proportion

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Consider the following situation: Doctors recommend having a total cholesterol level
below 200 mg/dl. A large local company wants to test if their employees have a mean
cholesterol level that is different from the recommended level. The company collects
data from a random sample of 50 employees and finds that the mean cholesterol level
of the employees in the sample is 256 mg/dl. with a sample standard deviation of
54.5
Which of the following hypothesis tests would be appropriate in this situation?
2-test for population mean
paired t-test
t-test for population mean
two-sample t-test for population mean differences
2-test for population proportion
Transcribed Image Text:Consider the following situation: Doctors recommend having a total cholesterol level below 200 mg/dl. A large local company wants to test if their employees have a mean cholesterol level that is different from the recommended level. The company collects data from a random sample of 50 employees and finds that the mean cholesterol level of the employees in the sample is 256 mg/dl. with a sample standard deviation of 54.5 Which of the following hypothesis tests would be appropriate in this situation? 2-test for population mean paired t-test t-test for population mean two-sample t-test for population mean differences 2-test for population proportion
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