A professional employee in a large corporation receives an average of

\mu

= 40.8 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 31 employees showed that they were receiving an average of x = 32.2 e-mails per day. The computer server through which the e-mails are routed showed that

\sigma

= 17.3. Has the new policy had any effect? 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. What are the null and alternate hypotheses?
A)H₀ :

\mu

\neq

40.8 e-mails; H₁ :

\mu

=40.8 e-mails
B)H₀ :

\mu

=40.8 e-mails; H₁ :

\mu

\neq

40.8 e-mails
C)H₀ :

\mu

= 40.8 e-mails; H₁ :

\mu

<40.8 e-mails
D)H₀ :

\mu

= 40.8 e-mails; H₁ :

\mu

\gt

40.8 e-mails
E)H₀ :

\mu

\neq

40.8 e-mails; H₁ :

\mu

\gt

.8 e-mails

Suppose That the Mean Time for a Certain Car to Go

Multiple Choice

Correct Answer:VerifiedUnlock this answer nowGet Access to more Verified Answers free of chargeAccess For Free

Correct Answer:
Verified
Unlock this answer now
Get Access to more Verified Answers free of charge