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 95.24 0.9 3 95.18 0.7 4 95.42 0.4 95.46 0.5 6 95.32 1.1 95.40 0.9 8 95.44 0.3 9 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
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 95.24 0.9 3 95.18 0.7 4 95.42 0.4 95.46 0.5 6 95.32 1.1 95.40 0.9 8 95.44 0.3 9 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
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![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
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.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc2d370bb-e789-494e-bee0-ba2e0951fd2c%2Fff4803db-0db2-411f-9527-bcd8d3ec7cbc%2Fxsl1d_processed.jpeg&w=3840&q=75)
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
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.)
![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 =
LCL =
Construct the R chart.
2.00-
2.00-
2.00-
2.00-
1.75-
잃 1.50
E 1.25
1.00
1.75
1.75
1.75-
UCL
1.50
1.25
잃 1.50
1.25
UCL
UCL
1.25
UCL
1.00
1.00
1.00
0.75
0.75
0.75
0.75
0.50
0.50
0.50-
0.50
0.25+
0.25
0.25
0.25
0.00
LCL
0.00
LCL
0.00
LCL
0.00
LCL
2 4 6 8 10 12 14 16 18 20
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
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 =
LCL =
Construct the x chart.
96.25
+
96.25
96.25-
96.25
UCL
96.00
UCL
96.00-
96.00-
96.00
95.75
UCL
UCI
95.75
95.75
95.75
95.50
95.50
95.50
95.50
95.25
95.25
95.25
95.25
95.00-
95.00
95.00-
LCL
95.00-
LCL
LCL
94.75-
94.75
94.75-
94.75-
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
Sample Mean x
asuey ərdures
Sample Mean X
Sample Range
Sample Mean x
sample Range
Sample Mean X
Sample Range](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc2d370bb-e789-494e-bee0-ba2e0951fd2c%2Fff4803db-0db2-411f-9527-bcd8d3ec7cbc%2F7tgho_processed.jpeg&w=3840&q=75)
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 =
LCL =
Construct the R chart.
2.00-
2.00-
2.00-
2.00-
1.75-
잃 1.50
E 1.25
1.00
1.75
1.75
1.75-
UCL
1.50
1.25
잃 1.50
1.25
UCL
UCL
1.25
UCL
1.00
1.00
1.00
0.75
0.75
0.75
0.75
0.50
0.50
0.50-
0.50
0.25+
0.25
0.25
0.25
0.00
LCL
0.00
LCL
0.00
LCL
0.00
LCL
2 4 6 8 10 12 14 16 18 20
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
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 =
LCL =
Construct the x chart.
96.25
+
96.25
96.25-
96.25
UCL
96.00
UCL
96.00-
96.00-
96.00
95.75
UCL
UCI
95.75
95.75
95.75
95.50
95.50
95.50
95.50
95.25
95.25
95.25
95.25
95.00-
95.00
95.00-
LCL
95.00-
LCL
LCL
94.75-
94.75
94.75-
94.75-
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
Sample Mean x
asuey ərdures
Sample Mean X
Sample Range
Sample Mean x
sample Range
Sample Mean X
Sample Range
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