A manager will switch to a new technology if the production process exceeds 80 units per hour. The manager asks the company statistician to test the null hypothesis: H0: μ = 80 against the alternative hypothesis: H1: μ >80 If there is strong evidence to reject the null hypothesis then the new technology will be adopted. Past experience has shown that the standard deviation is 8. A data set with n = 25 for the new technology has a sample mean of 83. Does this justify adoption of the new technology?

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A manager will switch to a new technology if the production process exceeds 80 units per
hour. The manager asks the company statistician to test the null hypothesis: H0: μ = 80 against
the alternative hypothesis: H1: μ >80 If there is strong evidence to reject the null hypothesis
then the new technology will be adopted. Past experience has shown that the standard
deviation is 8. A data set with n = 25 for the new technology has a sample mean of 83. Does this
justify adoption of the new technology?

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