Management at Webster Chemical Company is concerned as to whether caulking tubes are being properly capped. If a significant proportion of the tubes are not being sealed, Webster is placing its customers in a messy situation. Tubes are packaged in large boxes of
145145.
Several boxes are inspected, and the following numbers of leaking tubes are found:
Sample |
Tubes |
Sample |
Tubes |
Sample |
Tubes |
1 |
11 |
8 |
22 |
15 |
55 |
2 |
99 |
9 |
88 |
16 |
44 |
3 |
44 |
10 |
22 |
17 |
11 |
4 |
99 |
11 |
11 |
18 |
44 |
5 |
88 |
12 |
55 |
19 |
55 |
6 |
22 |
13 |
66 |
20 |
22 |
7 |
66 |
14 |
22 |
Total |
8686 |
Calculate p-chart
threethree-sigma
control limits to assess whether the capping process is in statistical control.The
UCL Subscript pUCLp
equals
nothing
and the
LCL Subscript pLCLp
equals
nothing.
(Enter
your responses rounded to three decimal
places.
If your answer for
LCL Subscript pLCLp
is negative, enter this value as
0.)
Is the capping process in control?
A.
All of the sample proportions are within the control limits, so the capping process is not in control.
B.
All of the sample proportions are within the control limitsAll of the sample proportions are within the control limits,
so the capping process
isis
in control.
C.
At least one of the sample proportions is below the lower control limit and at least one of the sample proportions is above the upper control limit, so the capping process is not in control.
D.
At least one of the sample proportions is above the upper control limitAt least one of the sample proportions is above the upper control limit,
so the capping process
is notis not
in control.
E.
At least one of the sample proportions is below the lower control limit, so the capping process is not in control.
Answer: UCLp= 0.072, LCLp= 0.000
Explanation:
Sample | defectives | observation |
1 | 1 | 145 |
2 | 9 | 145 |
3 | 4 | 145 |
4 | 9 | 145 |
5 | 8 | 145 |
6 | 2 | 145 |
7 | 6 | 145 |
8 | 2 | 145 |
9 | 8 | 145 |
10 | 2 | 145 |
11 | 1 | 145 |
12 | 5 | 145 |
13 | 6 | 145 |
14 | 2 | 145 |
15 | 5 | 145 |
16 | 4 | 145 |
17 | 1 | 145 |
18 | 4 | 145 |
19 | 5 | 145 |
20 | 2 | 145 |
total | 86 | 2900 |
steps and formulas,z= 3 sigma process | ||
Proportion of defects=P= | total defective/total observations | 0.030 |
Q= | 1-P | 0.970 |
N= | average sample size | 145 |
Standard deviation | squareroot(P*Q/N) | 0.014 |
UCL= | P + z*squareroot(P*Q/N) | 0.0719 |
LCL= | P - z*squareroot(P*Q/N) | -0.0126 |
defects cannot be negative, therefore negative LCL is taken as '0' | 0.00 |
Answer b: All of the sample proportions are within the control limits, so the capping process is not in control.
Use the table below for the charts
Sample | defectives | observation | proportion= defectives/observations | UCL | LCL | P |
1 | 1 | 145 | 0.007 | 0.072 | 0.000 | 0.030 |
2 | 9 | 145 | 0.062 | 0.072 | 0.000 | 0.030 |
3 | 4 | 145 | 0.028 | 0.072 | 0.000 | 0.030 |
4 | 9 | 145 | 0.062 | 0.072 | 0.000 | 0.030 |
5 | 8 | 145 | 0.055 | 0.072 | 0.000 | 0.030 |
6 | 2 | 145 | 0.014 | 0.072 | 0.000 | 0.030 |
7 | 6 | 145 | 0.041 | 0.072 | 0.000 | 0.030 |
8 | 2 | 145 | 0.014 | 0.072 | 0.000 | 0.030 |
9 | 8 | 145 | 0.055 | 0.072 | 0.000 | 0.030 |
10 | 2 | 145 | 0.014 | 0.072 | 0.000 | 0.030 |
11 | 1 | 145 | 0.007 | 0.072 | 0.000 | 0.030 |
12 | 5 | 145 | 0.034 | 0.072 | 0.000 | 0.030 |
13 | 6 | 145 | 0.041 | 0.072 | 0.000 | 0.030 |
14 | 2 | 145 | 0.014 | 0.072 | 0.000 | 0.030 |
15 | 5 | 145 | 0.034 | 0.072 | 0.000 | 0.030 |
16 | 4 | 145 | 0.028 | 0.072 | 0.000 | 0.030 |
17 | 1 | 145 | 0.007 | 0.072 | 0.000 | 0.030 |
18 | 4 | 145 | 0.028 | 0.072 | 0.000 | 0.030 |
19 | 5 | 145 | 0.034 | 0.072 | 0.000 | 0.030 |
20 | 2 | 145 | 0.014 | 0.072 | 0.000 | 0.030 |
Please ask, if you have any doubts through the comment section. Do rate the answer
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