3.)
A professional employee in a large corporation receives anaverage of ? = 39.8 e-mails per day. Most of these e-mailsare from other employees in the company. Because of the largenumber of e-mails, employees find themselves distracted and areunable to concentrate when they return to their tasks. In an effortto reduce distraction caused by such interruptions, one companyestablished a priority list that all employees were to use beforesending an e-mail. One month after the new priority list was putinto place, a random sample of 38 employees showed that they werereceiving an average of x = 33.1 e-mails per day. Thecomputer 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 achange (either way) in the average number of e-mails received perday per employee. Are the data statistically significant at level?? Based on your answers, will you reject or fail toreject the null hypothesis?
Select one:
a. The P-value is greater than than the level of significanceand so the data are not statistically significant. Thus, we fail toreject the null hypothesis.
b. The P-value is less than than the level of significance andso the data are statistically significant. Thus, we fail to rejectthe null hypothesis.
c. The P-value is less than than the level of significance andso the data are statistically significant. Thus, we reject the nullhypothesis.
d. The P-value is less than than the level of significance andso the data are not statistically significant. Thus, we reject thenull hypothesis.
e. The P-value is less than than the level of significance andso the data are not statistically significant. Thus, we fail toreject the null hypothesis.
