MBA 6300 online Homework Assignment #7 – Statistical Quality Control complete solutions answers
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MBA 6300 online Homework Assignment #7 – Statistical Quality Control complete solutions correct answers key
MBA 6300 online Homework Assignment #7 – Statistical Quality Control
Instructions: The homework must be placed in the Assignment Submittal link in Bb by midnight of the date shown in the Course Roadmap and Syllabus. The Instructor does not allow late submissions therefore a score of zero (0) will be recorded for the assignment if submitted after midnight Eastern Time of the due date. Solutions, for the assignment, will be released in Bb the morning after the due date for access by students. Total points for the assignment is 110. Note: There is no partial credit given; either the answer is correct or incorrect.
Please place your answers in the Excel File provided by the Instructor.
Question 1: Use the following data to calculate UCL and LCL (at the 99.7% confidence level) for an X-bar Chart that had 25 subgroups of size 5. The sum of X-bar is 25.36 and the sum of R is 19.56. (2.5 points)
Question 2: Use the following data to calculate UCL and LCL (at the 99.7% confidence level) for an R Chart that had 25 subgroups of size 5. The sum of X-bar is 25.36 and the sum of R is 19.56. (2.5 points)
Question 3: Use the following data to calculate UCL and LCL (at the 99.7% confidence level) for an X-bar Chart that had 30 subgroups of size 6. The sum of X-bar is 52.78 and the sum of R is 32.88. (2.5 points)
Question 4: Use the following data to calculate UCL and LCL (at the 99.7% confidence level) for an R Chart that had 30 subgroups of size 6. The sum of X-bar is 52.78 and the sum of R is 32.88. (2.5 points)
Question 5: Use the following data to calculate UCL and LCL (at the 99.7% confidence level) for an X-bar Chart that had 20 subgroups of size 5. The sum of X-bar is 36.57 and the sum of R is 20.95. (2.5 points)
Question 6: Use the following data to calculate UCL and LCL (at the 99.7% confidence level) for an R Chart that had 20 subgroups of size 5. The sum of X-bar is 36.57 and the sum of R is 20.95. (2.5 points)
Question 7: Use the following data to calculate UCL and LCL (at the 95.5% confidence level) for a p-chart with data gathered from 30 subgroups of size 25 that had a total of 84 non-conforming units. (2.5 points)
Question 8: Use the following data to calculate UCL and LCL (at the 99.7% confidence level) for a p-chart with data gathered from 25 subgroups of size 30 that had a total of 102 non-conforming units. (2.5 points)
Question 9: Use the following data to calculate UCL and LCL (at the 99.7% confidence level) for a p-chart with data gathered from 20 subgroups of size 35 that had a total of 67 non-conforming units. (2.5 points)
Question 10: Use the following data to calculate UCL and LCL (at the 99.7% confidence level) for a c-chart with data gathered from 25 samples that had a total of 70 non-conforming units. (2.5 points)
Question 11: Use the following data to calculate UCL and LCL (at the 99.7% confidence level) for a c-chart with data gathered from 35 samples that had a total of 88 non-conforming units. (2.5 points)
Question 12: Use the following data to calculate UCL and LCL (at the 95.5% confidence level) for a c-chart with data gathered from 30 samples that had a total of 75 non-conforming units. (2.5 points)
Scenario: A manufacturer of automobile glass employs a constant quality control technique where the thickness of glass is checked periodically by taking a sample of 5 units and measuring the thickness. The results of one shift’s quality control inspections are shown in the table below.
Sample
Thickness
Sample
Thickness
1
4, 3, 4, 2, 4
11
1, 6, 4, 4, 2
2
5, 3, 5, 4, 2
12
3, 3, 4, 5, 4
3
3, 3, 3, 3, 4
13
2, 7, 2, 7, 5
4
4, 5, 5, 4, 5
14
3, 2, 5, 4, 2
5
1, 7, 6, 1, 1
15
3, 3, 3, 2, 1
6
4, 5, 2, 5, 4
16
4, 4, 4, 5, 3
7
3, 5, 4, 4, 5
17
5, 3, 4, 4, 3
8
2, 4, 4, 4, 3
18
4, 4, 5, 3, 3
9
5, 4, 3, 2, 5
19
1, 4, 3, 3, 3
10
4, 4, 4, 4, 4
20
4, 4, 3, 5, 4
Question 13: Using the data contained in the scenario calculate the Upper Control Limit for an X-bar chart that reflect a 99.7% confidence level. (2.5 points)
Question 14: Using the data contained in the scenario calculate the Lower Control Limit for an X-bar chart that reflect a 99.7% confidence level. (2.5 points)
Question 15: Using the data contained in the scenario and the calculated the Upper and Lower Control Limits for an X-bar chart, which samples are out of control? (5 points)
Question 16: Using the data contained in the scenario calculate the Upper Control Limit for an R chart that reflect 99.97% level of confidence. (2.5 points)
Question 17: Using the data contained in the scenario calculate the Lower Control Limit for an R chart that reflect 99.97% level of confidence. (2.5 points)
Question 18: Using the data contained in the scenario and the calculated the Upper and Lower Control Limits for an R chart, which samples are out of control? (5 points)
Scenario: A canning company packages canned soup for a major soup manufacturer for distribution to regional wholesalers. The company processes 5,000 cans of soup each day using an automated packaging machine that is programmed to fill each can with 74.0 ± 0.1 ounces net weight of soup. The company's quality assurance process consists of randomly selecting five cans from the production line each hour and carefully weighing them. Sample observations for a 24-hour production run are reflected in the table below.
Hour
Sample 1
Sample 2
Sample 3
Sample 4
Sample 5
1
74.030
74.002
74.019
73.992
74.008
2
73.995
73.992
74.001
74.011
74.004
3
73.988
74.024
74.021
74.005
74.002
4
74.002
73.996
73.993
74.015
74.009
5
73.992
74.007
74.015
73.989
74.014
6
74.009
73.994
73.997
73.985
73.993
7
73.995
74.006
73.994
74.000
74.005
8
73.985
74.003
73.993
74.015
73.988
9
74.008
73.995
74.009
74.005
74.004
10
73.998
74.000
73.990
74.007
73.995
11
73.994
73.998
73.994
73.995
73.990
12
74.004
74.000
74.007
74.000
73.996
13
73.983
74.002
73.998
73.997
74.012
14
74.006
73.967
73.994
74.000
73.984
15
74.012
74.014
73.998
73.999
72.996
16
74.000
73.984
74.005
72.856
73.996
17
73.994
74.012
73.065
74.005
74.007
18
74.006
73.001
74.018
74.003
74.000
19
72.755
74.002
74.003
74.005
73.997
20
74.000
74.010
74.013
74.020
74.003
21
73.982
74.001
74.015
74.005
73.996
22
74.004
73.999
73.990
74.006
74.009
23
74.010
73.989
73.990
74.009
74.014
24
74.015
74.008
73.993
74.000
74.010
25
73.982
73.984
73.995
74.017
74.013
Question 19: Using the data contained in the scenario calculate the Upper Control Limit for an X-bar chart that reflect a 99.7% confidence level. (5 points)
Question 20: Using the data contained in the scenario calculate the Lower Control Limits for an X-bar chart that reflect a 99.7% confidence level. (5 points)
Question 21: Using the data contained in the scenario and the calculated the Upper and Lower Control Limits for an X-bar chart, which samples are out of control? (5 points)
Question 22: Using the data contained in the scenario calculate the Upper Control Limit for an R chart that reflect 99.97% level of confidence. (5 points)
Question 23: Using the data contained in the scenario calculate the Lower Control Limit for an R chart that reflect 99.97% level of confidence. (5 points)
Question 24: Using the data contained in the scenario and the calculated the Upper and Lower Control Limits for an R chart, which samples are out of control? (5 points)
Scenario: The manager of the customer service hotline for an internet service provider has been approached by the President of the company regarding a perceived increase in the number of customer complaints regarding the lack of timely technical assistance being provided by hotline technicians. In order to evaluate the validity of the President’s concerns he decided to survey customers regarding their satisfaction with the timeliness of the technical assistance they received. Surveys were conducted during a thirty-day period with one hundred sixty (160) randomly selected customers participating in the survey each day. The number of customers surveyed who expressed dissatisfaction with the timeliness of the technical assistance they received is summarized in the following table.
Day
No. Complaints
Day
No. Complaints
1
22
16
15
2
29
17
17
3
25
18
17
4
17
19
19
5
20
20
22
6
16
21
23
7
32
22
27
8
13
23
29
9
31
24
38
10
29
25
21
11
15
26
24
12
15
27
22
13
28
28
24
14
23
29
23
15
27
30
31
Question 25: Using the data contained in the scenario calculate the Upper Control Limit for the number of complaints that reflect a 99.7% confidence level. (5 points)
Question 26: Using the data contained in the scenario calculate the Lower Control Limit for the number of complaints that reflect a 99.7%confidence level. (5 points)
Question 27: Using the data contained in the scenario and the calculated the Upper and Lower Control Limits for the number of complaints, which samples are out of control? (5 points)
Question 28: Using the data contained in the scenario calculate the Upper Control Limit for the proportion of complaints that reflect 99.7% level of confidence. (5 points)
Question 29: Using the data contained in the scenario calculate the Lower Control Limit for the proportion of complaints that reflect 99.7% level of confidence. (5 points)
Question 30: Using the data contained in the scenario and the calculated the Upper and Lower Control Limits for the proportion of complaints, which samples are out of control? (5 points)
[Solved] MBA 6300 online Homework Assignment #7 – Statistical Quality Control complete solutions answers
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- Submitted On 10 Jan, 2017 01:42:20
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