The U.S. Dairy Industry wants to estimate the mean yearly milk consumption. A sample of 26 people reveals the mean yearly consumption to be 84 gallons with a standard deviation of 26 gallons. Assume that the population distribution is normal. (Use t Distribution Table.) a-1.What is the value of the population mean? 8426Unknown a-2.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 and . e.Would it be reasonable to conclude that the population mean is 62 gallons? YesNoIt is not possible to tell.

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Description: The U.S. Dairy Industry wants to estimate the mean yearly milk consumption. A sample of 26 people reveals the mean yearly consumption to be 84 gallons with a standard deviation of 26 gallons. Assume that the population distribution is normal. (Use t

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The U.S. Dairy Industry wants to estimate the mean yearly milk consumption. A sample of 26 people reveals the mean yearly consumption to be 84 gallons with a standard deviation of 26 gallons. Assume that the population distribution is normal. (Use t Distribution Table.)

a-1.	What is the value of the population mean?

	84 26 Unknown

a-2.

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 and .

e.	Would it be reasonable to conclude that the population mean is 62 gallons?

	Yes No It is not possible to tell.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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