The company is interested in using control charts to monitor the temperature of its manufacturing process. Compute the upper and lower control limits for the R chart. (Round your answers to three decimal places.) UCL - 1.4058 LCL - 0 Construct the R chart. 2.00 1.75- 1.50 2.00 1.75 1.50- 1.25 * 1.00 2.00 - 2.00 1.75 1.50- 1.25 1.00 L0.75 UCL 1.75 1.50 UCL 1.25 1.00 UCL UCI. 1.25 UCL 0.75 0.50 1.00 - 0.75 0.75 0.50 0.50 0.50 0.25 0.25 0.00 0.25 0.00 0.25 LCL 0.00 LCL. LCL 0.00 LCL 2 4 68 10 12 14 16 18 20 2 4 6 8 10 12 14 16 18 20 2 4 6 8 10 12 14 16 18 20 2 46 8 10 12 14 16 18 20 Sample Number Sample Number Sample Number Sample Number Compute the upper and lower control limits for the x chart. (Round your answers to three decimal places.) UCL - 95.7 LCL - 95 09 Construct the x chart. 96.25 UCL 96.25 * 96.00 96.25 96.25 * 96.00- 96.00 UCI. 96.00 95.75 UCL 95.75 95.75 95.75 UC 95.50 95.50 95.50 95.50 95.25 95.25 95.00 95.25 95.25 93.00 95.00 95.00 LCL. 94.75 LCL I L.CL. V LCL. 94.75 94.75 94.75 2 4 6 8 10 12 14 16 18 20 2 468 10 12 14 16 18 20 2 4 6 8 10 12 14 16 18 20 2 4 6 810 12 14 16 18 20 Sample Number Sample Number Sample Number Sample Number What conclusions can be made about the quality of the process? The R chart indicates that the process variability is in control v No samples fall outside the R chart control limits. The x chart indicates that the process mean is out of control More than two samples fall x outside the x chart control limits. Sample Range Sample Range Sample Range
The company is interested in using control charts to monitor the temperature of its manufacturing process. Compute the upper and lower control limits for the R chart. (Round your answers to three decimal places.) UCL - 1.4058 LCL - 0 Construct the R chart. 2.00 1.75- 1.50 2.00 1.75 1.50- 1.25 * 1.00 2.00 - 2.00 1.75 1.50- 1.25 1.00 L0.75 UCL 1.75 1.50 UCL 1.25 1.00 UCL UCI. 1.25 UCL 0.75 0.50 1.00 - 0.75 0.75 0.50 0.50 0.50 0.25 0.25 0.00 0.25 0.00 0.25 LCL 0.00 LCL. LCL 0.00 LCL 2 4 68 10 12 14 16 18 20 2 4 6 8 10 12 14 16 18 20 2 4 6 8 10 12 14 16 18 20 2 46 8 10 12 14 16 18 20 Sample Number Sample Number Sample Number Sample Number Compute the upper and lower control limits for the x chart. (Round your answers to three decimal places.) UCL - 95.7 LCL - 95 09 Construct the x chart. 96.25 UCL 96.25 * 96.00 96.25 96.25 * 96.00- 96.00 UCI. 96.00 95.75 UCL 95.75 95.75 95.75 UC 95.50 95.50 95.50 95.50 95.25 95.25 95.00 95.25 95.25 93.00 95.00 95.00 LCL. 94.75 LCL I L.CL. V LCL. 94.75 94.75 94.75 2 4 6 8 10 12 14 16 18 20 2 468 10 12 14 16 18 20 2 4 6 8 10 12 14 16 18 20 2 4 6 810 12 14 16 18 20 Sample Number Sample Number Sample Number Sample Number What conclusions can be made about the quality of the process? The R chart indicates that the process variability is in control v No samples fall outside the R chart control limits. The x chart indicates that the process mean is out of control More than two samples fall x outside the x chart control limits. Sample Range Sample Range Sample Range
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Transcribed Image Text:The following are quality control data for a manufacturing process at Kensport Chemical Company. The data show the temperature in degrees centigrade at five points in time during a manufacturing cycle.
Sample
R
1
95.72
1.0
2
95.24
0.9
3
95.18
0.7
4
95.42
0.4
95.46
0.5
6
95.32
1.1
7
95.40
0.9
8
95.44
0.3
95.08
0.2
10
95.50
0.6
11
95.80
0.6
12
95.22
0.2
13
95.54
1.3
14
95.22
0.6
15
95.04
0.8
16
95.72
1.1
17
94.82
0.6
18
95.46
0.5
19
95.60
0.4
20
95.74
0.6
The company is interested in using control charts to monitor the temperature of its manufacturing process. Compute the upper and lower control limits for the R chart. (Round your answers to three decimal places.)
Transcribed Image Text:The company is interested in using control charts to monitor the temperature of its manufacturing process. Compute the upper and lower control limits for the R chart. (Round your answers to three decimal places.)
UCL =
1.4058
LCL = 0
Construct the R chart.
2.00-
1.75
2.00-
1.75-
잃o 1.50
2.00-
2.00-
1.75-
1.50-
1.75
1.50
UCL
UCL
% 1.50-
1.25
UCL
1.00
1.25
1.00-
0.75
1.25
1.25
UCL
0.75
1.00
1.00
0.50
0.75
0.75
0.50
0.25
0.50
E 0.25
0.50
0.00
0.25
0.25
LCL
0.00
0.00-
LCL
0.00
LCL.
LCL
2 4 6 8 10 12 14 16 18 20
2 4 6 8 10 12 14 16 18 20
2 4 6 8 10 12 14 16 18 20
2 4 6 8 10 12 14 16 18 20
Sample Number
Sample Number
Sample Number
Sample Number
Compute the upper and lower control limits for the x chart. (Round your answers to three decimal places.)
UCL = 95.7
LCL - 95.09
Construct the x chart.
96.25+
UCL
96.25+
96.25
96.25
* 96.00
96.00
96.00
96.00
95.75
UCL
UCL
95.75
95.75
95.75
UCI
95.50-
95.50
95.50
95.50
95.25
95.25
95.25
95.25-
95.00-
95.00
95.00
95.00
LCL
94.75
LCL
LCL
LCL
94.75
94.75-
94.75
2 4 6 8 10 12 14 16 18 20
2 4 6 8 10 12 14 16 18 20
2 4 6 8 10 12 14 16 18 20
2 4 6 8 10 12 14 16 18 20
Sample Number
Sample Number
Sample Number
Sample Number
What conclusions can be made about the quality of the process?
The R chart indicates that the process variability is (in control
No samples fall|
vy outside the R chart control limits. The x chart indicates that the process mean is out of control v
More than two samples fall x outside the x chart control limits.
Sample Mean X
Sample Range
Sample Mean x
Sample Range
Sample Mean X
sample Mean X
Sample Range
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