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A professional employee in a large corporation receives an average of u=40 e-mails per day. Most...

A professional employee in a large corporation receives an average of u=40 e-mails per day. Most of these e-mails are from other employees in the company. Because of the large number of e-mails, employees find themselves distracted and are unable to concentrate when they return to their tasks. In an effort to reduce distraction caused by such interruptions, one company established a priority list that all employees were to use before sending an e-mail. One month after the new priority list was put into place, a random sample of 33 employees showed that they were receiving an average of Xbar=33.4 e-mails per day. The computer server through which the e-mails are routed showed that o=17.5. Use a 5% level of significance to test the claim that there has been a change (either way) in the average number of e-mails received per day per employee. Are the data statistically significant at level α? Based on your answers, will you reject or fail to reject the null hypothesis?

Group of answer choices

The P-value is greater than the level of significance and so the data are not statistically significant. Thus, we reject the null hypothesis.

The P-value is greater than the level of significance and so the data are statistically significant. Thus, we fail to reject the null hypothesis.

The P-value is less than the level of significance and so the data are statistically significant. Thus, we reject the null hypothesis.

The P-value is greater than the level of significance and so the data are not statistically significant. Thus, we fail to reject the null hypothesis.

The P-value is greater than the level of significance and so the data are statistically significant. Thus, we reject the null hypothesis.

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