In: Operations Management
A quality analyst wants to construct a sample mean chart for
controlling a packaging process. He knows from past experience that
whenever this process is in control, package weight is normally
distributed with a mean of 20 ounces and a standard deviation of
two ounces. Each day last week, he randomly selected four packages
and weighed each:
Day | Weight (ounces) | |||
Monday | 23 | 22 | 23 | 24 |
Tuesday | 23 | 21 | 19 | 21 |
Wednesday | 20 | 19 | 20 | 21 |
Thursday | 18 | 19 | 20 | 19 |
Friday | 18 | 20 | 22 | 20 |
23 What is the sample mean package weight for Thursday?
Multiple Choice
19 ounces
20 ounces
20.6 ounces
21 ounces
23 ounces
24 What is the mean of the sampling distribution of sample means when this process is in control?
Multiple Choice
18 ounces
19 ounces
20 ounces
21 ounces
22 ounces
25 If he uses upper and lower control limits of 22 and 18 ounces, on what day(s), if any, does this process appear to be out of control?
Multiple Choice
Monday
Tuesday
Monday and Tuesday
Monday, Tuesday, and Thursday
None
Answer 23 –
Sample mean package weight for Thursday = (Weight of Package 1 + Weight of Package 2 + Weight of Package 3 + Weight of Package 4) / Number of packages
= (18+19+20+19)/4
= 19 ounces
Answer 24 –
Sample means for all days using formula mentioned above–
Monday = (23+22+23+24)/4 = 23
Tuesday = (23+21+19+21)/4 = 21
Wednesday = (20+19+20+21)/4 = 20
Thursday = (18+19+20+19)/4 = 19
Friday = (18+20+22+20)/4 = 20
Mean of the sampling distribution of sample means = Sum of sample means of all days / Number of days
= (23+21+20+19+20)/5
= 20.6 = 21 ounces (rounded off)
Answer 25 – Monday
Explanation:
Upper Control Limit = 22
Lower Control Limit = 18
Sample means of Tuesday, Wednesday, Thursday and Friday falls under these limits. However, sample mean of Monday is 23 which does not fall under these limits. Therefore, on Monday process appears to be out of control.