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.)