Sample 1 2.13 2.18 2.05 1.96 2.08 2.10 2.02 2.20 3 1.93 1.98 2.03 2.06 2.01 2.00 1.94 1.91 1.99 1.90 2.14 2.04 1.92 1.95 2.02 2.05 7 2.00 1.94 2.00 1.90 8 1.93 2.02 2.04 2.09 1.87 2.13 1.90 1.92 10 1.89 2.14 2.16 2.10 11 1.93 1.87 1.94 1.99 12 1.86 1.89 2.07 2.06 13 2.04 2.09 2.03 2.09 14 2.15 2.02 2.11 2.04 15 1.96 1.99 1.94 1.98 16 2.03 2.06 2.09 2.02 17 1.95 1.99 1.87 1.92 18 2.05 2.03 2.06 2.04 19 2.12 2.02 1.97 1.95 20 2.03 2.01 2.04 2.02 2.94 0.1 2.93 0.09 UCL 2.92 0.08 2.91 UCL (based on 3ơ -limits) 0.07 2.9 2.89 0.06 2.88 0.05 2.87 0.04 2.86 0.03 2.85 0.02 2.84 LCL (based on 3o -limits) LCL 2.83 0.01 2.82 2 10 12 14 16 18 20 22 24 26 28 30 10 12 14 16 18 20 22 24 26 28 30 4 6 2 4 8 Sample number Sample number FIGURE 12-7 FIGURE 12-8 X chart for tracking R chart for tracking arm data arm data Length of tracking arm Range

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
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Question

Twenty sets of four measurements of the diameters in inches of Hot Shot golf balls were (given 12.69)

a. Enter the data into a spreadsheet and compute the means and the ranges for each sample.
b. Using the results of part (a), develop X- and R charts similar to Figures 12–7 and 12–8. Assume three-sigma limits for the X- chart.
c. Develop a histogram based on the 80 observations. Assume class intervals (1) 1.80–1.849, (2) 1.85–1.899, (3) 1.90–1.949, (4) 1.95–1.999, (5) 2.0–2.049, (6) 2.05–2.099, (7) 2.10–2.149, (8) 2.15–2.20. Based on your histogram, what distribution might accurately describe the diameter of a golf ball selected at random?

Sample
1
2.13
2.18
2.05
1.96
2.08
2.10
2.02
2.20
3
1.93
1.98
2.03
2.06
2.01
2.00
1.94
1.91
1.99
1.90
2.14
2.04
1.92
1.95
2.02
2.05
7
2.00
1.94
2.00
1.90
8
1.93
2.02
2.04
2.09
1.87
2.13
1.90
1.92
10
1.89
2.14
2.16
2.10
11
1.93
1.87
1.94
1.99
12
1.86
1.89
2.07
2.06
13
2.04
2.09
2.03
2.09
14
2.15
2.02
2.11
2.04
15
1.96
1.99
1.94
1.98
16
2.03
2.06
2.09
2.02
17
1.95
1.99
1.87
1.92
18
2.05
2.03
2.06
2.04
19
2.12
2.02
1.97
1.95
20
2.03
2.01
2.04
2.02
Transcribed Image Text:Sample 1 2.13 2.18 2.05 1.96 2.08 2.10 2.02 2.20 3 1.93 1.98 2.03 2.06 2.01 2.00 1.94 1.91 1.99 1.90 2.14 2.04 1.92 1.95 2.02 2.05 7 2.00 1.94 2.00 1.90 8 1.93 2.02 2.04 2.09 1.87 2.13 1.90 1.92 10 1.89 2.14 2.16 2.10 11 1.93 1.87 1.94 1.99 12 1.86 1.89 2.07 2.06 13 2.04 2.09 2.03 2.09 14 2.15 2.02 2.11 2.04 15 1.96 1.99 1.94 1.98 16 2.03 2.06 2.09 2.02 17 1.95 1.99 1.87 1.92 18 2.05 2.03 2.06 2.04 19 2.12 2.02 1.97 1.95 20 2.03 2.01 2.04 2.02
2.94
0.1
2.93
0.09
UCL
2.92
0.08
2.91
UCL (based on 3ơ -limits)
0.07
2.9
2.89
0.06
2.88
0.05
2.87
0.04
2.86
0.03
2.85
0.02
2.84
LCL (based on 3o -limits)
LCL
2.83
0.01
2.82
2
10 12 14 16 18 20 22 24 26 28 30
10 12 14 16 18 20 22 24 26 28 30
4
6
2
4
8
Sample number
Sample number
FIGURE 12-7
FIGURE 12-8
X chart for tracking
R chart for tracking
arm data
arm data
Length of tracking arm
Range
Transcribed Image Text:2.94 0.1 2.93 0.09 UCL 2.92 0.08 2.91 UCL (based on 3ơ -limits) 0.07 2.9 2.89 0.06 2.88 0.05 2.87 0.04 2.86 0.03 2.85 0.02 2.84 LCL (based on 3o -limits) LCL 2.83 0.01 2.82 2 10 12 14 16 18 20 22 24 26 28 30 10 12 14 16 18 20 22 24 26 28 30 4 6 2 4 8 Sample number Sample number FIGURE 12-7 FIGURE 12-8 X chart for tracking R chart for tracking arm data arm data Length of tracking arm Range
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