A local juice manufacturer distributes juice in bottles labeled 32 ounces. A government agency thinks that the company is cheating its customers. The agency selects 35 of these bottles, measures their contents, and obtains a sample mean of 31.7 ounces with a standard deviation of 0.70 ounce. Use a 5% significance level to test the agency's claim that the company is cheating its customers. The appropriate null hypothesis for this situation is: H0:  = 31.7H0: μ = 32    H0:  = 32H0: μ = 31.7 The appropriate alternative hypothesis for this situation is: Ha:  < 32Ha:  > 31.7    Ha:  < 31.7Ha:  > 32Ha: μ > 32Ha: μ < 31.7Ha: μ > 31.7Ha: μ < 32 The value of the statistic for this test is =   (round answers to three places after the decimal.) and the p-value is   (round answers to three places after the decimal.) There     enough statistical evidence, at the 5% level, that the company is cheating its customers.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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A local juice manufacturer distributes juice in bottles labeled 32 ounces. A government agency thinks that the company is cheating its customers. The agency selects 35 of these bottles, measures their contents, and obtains a sample mean of 31.7 ounces with a standard deviation of 0.70 ounce. Use a 5% significance level to test the agency's claim that the company is cheating its customers.

The appropriate null hypothesis for this situation is:

H0:  = 31.7H0: μ = 32    H0:  = 32H0: μ = 31.7



The appropriate alternative hypothesis for this situation is:

Ha:  < 32Ha:  > 31.7    Ha:  < 31.7Ha:  > 32Ha: μ > 32Ha: μ < 31.7Ha: μ > 31.7Ha: μ < 32


The value of the statistic for this test is =   (round answers to three places after the decimal.)

and the p-value is   (round answers to three places after the decimal.)

There     enough statistical evidence, at the 5% level, that the company is cheating its customers.

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