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? Họ : H = 39.8 e-mails; H1 : µ > 39.8 e-mails Họ : u # 39.8 e-mails; H : µ> 39.8 e-mails O Họ : u# 39.8 e-mails; H1 : µ = 39.8 e-mails O Ho : u = 39.8 e-mails; H1 : µ < 39.8 e-mails

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A professional employee in a large corporation receives an average of u = 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 47 employees showed that they were receiving an average
of x = 29.9 e-mails per day. The computer server through which the e-mails are routed
showed that o = 16.2. 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?
O Họ : u = 39.8 e-mails; H1 : u> 39.8 e-mails
O Ho : u+ 39.8 e-mails; H1 : u> 39.8 e-mails
O Ho : u+ 39.8 e-mails; H1 : u = 39.8 e-mails
O Ho : u = 39.8 e-mails; H1 : u < 39.8 e-mails
Ho : u = 39.8 e-mails; H1 : u # 39.8 e-mails
Transcribed Image Text:A professional employee in a large corporation receives an average of u = 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 47 employees showed that they were receiving an average of x = 29.9 e-mails per day. The computer server through which the e-mails are routed showed that o = 16.2. 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? O Họ : u = 39.8 e-mails; H1 : u> 39.8 e-mails O Ho : u+ 39.8 e-mails; H1 : u> 39.8 e-mails O Ho : u+ 39.8 e-mails; H1 : u = 39.8 e-mails O Ho : u = 39.8 e-mails; H1 : u < 39.8 e-mails Ho : u = 39.8 e-mails; H1 : u # 39.8 e-mails
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