From my previous question

Question 24 4 pts A professional employee in a large corporation receives an average of # = 39 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 49 employees showed that they were receiving an average of x = 29.5 e- mails per day. The computer server through which the e-mails are routed showed that a = 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? O The P-value is greater than the level of significance and so the data are not statistically significant. Thus, we reject the null hypothesis. O 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. O The P-value is less than the level of significance and so the data are statistically significant. Thus, we reject the null hypothesis. O 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 fail to reject the null hypothesis