In: Operations Management
|
Sample |
Size |
No. Defective |
|
1 |
80 |
4 |
|
2 |
72 |
2 |
|
3 |
68 |
3 |
|
4 |
81 |
3 |
|
5 |
75 |
4 |
|
6 |
70 |
4 |
|
7 |
82 |
5 |
|
8 |
64 |
1 |
|
9 |
73 |
1 |
|
10 |
78 |
5 |
|
11 |
70 |
3 |
|
12 |
74 |
4 |
|
13 |
83 |
1 |
|
14 |
76 |
12 |
|
15 |
66 |
4 |
|
16 |
70 |
7 |
|
17 |
71 |
4 |
|
18 |
82 |
7 |
|
19 |
73 |
4 |
|
20 |
67 |
6 |
|
21 |
80 |
2 |
|
22 |
79 |
7 |
|
23 |
81 |
2 |
|
24 |
81 |
4 |
|
25 |
78 |
4 |
|
26 |
79 |
1 |
|
27 |
84 |
4 |
|
28 |
66 |
2 |
|
29 |
74 |
4 |
|
30 |
80 |
4 |
(a) use the data n the table to construct a standardized p-chart,
(b) interpret your chart, and
(c) give reasons for out-of-control conditions




a) refer to the image above.
b) p chart shows that there are special cause variations, making the or process out of control.
c) the reason for out of control process:
* Proportion values are not within the control limits.
* There are lot of special cause variations.
(Please like the answer it will encourage me. Do comment if any correction required before disliking.)