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A professional employee in a large corporation receives an average of =39.8 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 38 employees showed that they were receiving an average of x=33.1 e-mails per day. The computer server through which the e-mails are routed showed that =16.2. Has the new policy had any effect? Use a 10% 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 ? Based on your answers, will you reject or fail to reject the null hypothesis?

Group of answer choices

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

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

The P-value is greaterthan than the level of significance and so the data arenot statistically significant. Thus, we failtoreject the null hypothesis.

The P-value is lessthan than the level of significance and so the data arenot statistically significant. Thus, we failtoreject the null hypothesis.

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

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