SOLUTION: The U.S. Dairy Industry wants to estimate the mean yearly milk consumption. A sample of 18 people reveals the mean yearly consumption to be 68 gallons with a standard deviation of

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Question 1058594: The U.S. Dairy Industry wants to estimate the mean yearly milk consumption. A sample of 18 people reveals the mean yearly consumption to be 68 gallons with a standard deviation of 25 gallons. Assume that the population distribution is normal. (Use t Distribution Table.)

a. What is the value of the population mean?
A.) Unknown
B.) 68
C.) 25

b. What is the best estimate of this value?

Estimate population mean:


c. For a 95% confidence interval, what is the value of t? (Round your answer to 3 decimal places.)

Value of t:


d. Develop the 95% confidence interval for the population mean. (Round your answers to 3 decimal places.)

Confidence interval for the population mean is between and .

e. Would it be reasonable to conclude that the population mean is 55 gallons?

a.) Yes
b.) No
c.) It is not possible to tell.

Answer by stanbon(75887) About Me  (Show Source):
You can put this solution on YOUR website!
The U.S. Dairy Industry wants to estimate the mean yearly milk consumption. A sample of 18 people reveals the mean yearly consumption to be 68 gallons with a standard deviation of 25 gallons. Assume that the population distribution is normal. (Use t Distribution Table.)
a.What is the value of the population mean?
Ans:: A
A.) Unknown
B.) 68
C.) 25
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b. What is the best estimate of this value?
Estimate population mean: point estimate = 68
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c. For a 95% confidence interval, what is the value of t? (Round your answer to 3 decimal places.)
Ans: t = invT(0.025,17) = 2.1098
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d. Develop the 95% confidence interval for the population mean. (Round your answers to 3 decimal places.)
sample mean::: 68
Margin of Error:: 2.1098*(25/sqrt(18)) = 12.43
Confidence interval for the population mean is
between 68-12.43 and 68+12.43 = (55.57,80.43)

e. Would it be reasonable to conclude that the population mean is 55 gallons?
a.) Yes
b.) No; it is not in the confidence interval
c.) It is not possible to tell.
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Cheers,
Stan H.
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