A. A beverage bottling company labels a product as having a mean volume of 16 oz. It is important to the company and consumers that the volume of each beverage is as close to 16 oz as possible. A quality control analyst randomly selects 45 beverages and finds that the mean volume is 16.3 oz, and the standard deviation is 0.8 oz. The company will need to adjust the bottling procedures if evidence exists that the mean volume of all beverages differs from 16 oz. Is this enough evidence at α=.10 to conclude that the mean volume of all beverages differs from 16 oz? What are the hypotheses of the test? B. A beverage bottling company labels a product as having a mean volume of 16 oz. It is important to the company and consumers that the volume of each beverage is as close to 16 oz as possible. A quality control analyst randomly selects 45 beverages and finds that the mean volume is 16.3 oz, and the standard deviation is 0.8 oz. The company will need to adjust the bottling procedures if evidence exists that the mean volume of all beverages differs from 16 oz. Is this enough evidence at α=.10 to conclude that the mean volume of all beverages differs from 16 oz? The test statistic is calculated to be 1.72. What is the p-value of the test? Round final answer to 4 decimal places.
A.
A beverage bottling company labels a product as having a
The company will need to adjust the bottling procedures if evidence exists that the mean volume of all beverages differs from 16 oz. Is this enough evidence at α=.10 to conclude that the mean volume of all beverages differs from 16 oz?
What are the hypotheses of the test?
B.
A beverage bottling company labels a product as having a mean volume of 16 oz. It is important to the company and consumers that the volume of each beverage is as close to 16 oz as possible. A quality control analyst randomly selects 45 beverages and finds that the mean volume is 16.3 oz, and the standard deviation is 0.8 oz.
The company will need to adjust the bottling procedures if evidence exists that the mean volume of all beverages differs from 16 oz. Is this enough evidence at α=.10 to conclude that the mean volume of all beverages differs from 16 oz?
The test statistic is calculated to be 1.72. What is the p-value of the test? Round final answer to 4 decimal places.
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