Question #187329

Michael is a delivery man for a pizza chain. He has 14 late deliveries out of 45 on

Sunday. The manager’s policy requires him to fire a delivery man if his rate of late

deliveries is above 0.2. Conduct a test at the 5% level of significance to determine if the

manager will fire Michael.


1
Expert's answer
2021-05-07T10:41:03-0400

One sample proportion test used

H0:P=0.2H1:P>0.2H_0 : P=0.2 \\ H_1: P > 0.2

upper tail test

p=1445=0.3333z=pPP(1P)/nz=0.33330.20.2(10.2)/45z=2.1602p=\frac{14}{45} = 0.3333 \\ z = \frac{p – P}{\sqrt{P(1-P)/n}} \\ z = \frac{0.3333 -0.2}{\sqrt{0.2(1-0.2)/45}} \\ z=2.1602

Table value of z at 0.05 level = 1.645

Rejection region: reject H0 if z > 1.645

Calculated z = 2.1602 falls in the rejection region.

The null hypothesis is rejected. The manager will fire Michael.


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