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George Mason University BUS 310 Midterm Exam

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Bus 310 Midterm EXAM Trade associations, such as a dairy association, frequently conduct surveys to identify characteristics of their membership. If a particular organization conducted a survey to estimate the annual per capita consumption of milk and wanted to be 95% confident that the estimate was no more than 0.66 gallon away from the actual average, what sample size is needed? Past data have indicated that the standard deviation of consumption is approximately 3 gallons. 79 79.37 1859 80 1860 An alternative hypothesis can have the signs , , or =. True False A test with a 0.10 significance level has a larger rejection region than a test with a 0.05 significance level. True False In order to construct a confidence interval estimate of , the value of the population mean must be given. True False The Central Limit Theorem states that under certain circumstances the following is (are) true: (select all that are true)

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Bus 310 Midterm EXAM

Trade associations, such as a dairy association, frequently conduct surveys to identify characteristics of
their membership. If a particular organization conducted a survey to estimate the annual per capita
consumption of milk and wanted to be 95% confident that the estimate was no more than 0.66 gallon
away from the actual average, what sample size is needed? Past data have indicated that the standard
deviation of consumption is approximately 3 gallons.
79

79.37

1859

80

1860

An alternative hypothesis can have the signs >, <, or =.

True

False


A test with a 0.10 significance level has a larger rejection region than a test with a 0.05 significance level.

True

False

In order to construct a confidence interval estimate of , the value of the population mean must be
given.

True

False
The Central Limit Theorem states that under certain circumstances the following is (are) true:

(select all that are true)

the standard deviation of the sampling distribution is equal to the standard deviation of the
underlying distribution divided by n (the sample size)

the standard deviation of the sampling distribution is equal to the standard deviation of the
underlying distribution divided by the square root of n (the sample size)

the mean of the sampling distribution is equal to the mean of the underlying distibution

the sampling distribution will be a the same as the underlying distribution

the sampling distribution will be a Normal distribution

the mean of the sampling distribution is equal to the mean of the underlying distribution divided by n
(the sample size)

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