In: Statistics and Probability
2. The following data gives the number of defectives in 10 independent samples of varying sizes from a production process:
Draw the control chart for fraction defectives and comment on it.
3.Draw a suitable control chart for the following data pertaining to the number of coloured threads(considered as defects) in 15 pieces of cloth in a certain make of synthetic fibres and state your conclusions: 7,12,3,20,21,5,4,3,10,8,0,9,6,7,20
2. P-chart: From the given data
S. No. | Sample Size (n) | Defective Units (di) | pi=di/ni |
1 | 2000 | 425 | 0.2125 |
2 | 1500 | 430 | 0.2867 |
3 | 1400 | 216 | 0.1543 |
4 | 1350 | 314 | 0.2326 |
5 | 1250 | 225 | 0.1800 |
6 | 1760 | 322 | 0.1830 |
7 | 1875 | 280 | 0.1493 |
8 | 1955 | 306 | 0.1565 |
9 | 3125 | 337 | 0.1078 |
10 | 1575 | 305 | 0.1937 |
Total: | 17790 | 3160 |
Now we calculate LCL and UCL values from the above formula with different sample sizes(ni)
UCL | LCL | ||||
S. No. | Sample Size (n) | Defective Units (di) | pi=di/ni | p-bar+3*sqrt((p-bar * q-bar)/ni) | p-bar-3*sqrt((p-bar * q-bar)/ni) |
1 | 2000 | 425 | 0.2125 | 0.2033 | 0.1520 |
2 | 1500 | 430 | 0.2867 | 0.2072 | 0.1480 |
3 | 1400 | 216 | 0.1543 | 0.2083 | 0.1470 |
4 | 1350 | 314 | 0.2326 | 0.2088 | 0.1464 |
5 | 1250 | 225 | 0.1800 | 0.2101 | 0.1452 |
6 | 1760 | 322 | 0.1830 | 0.2050 | 0.1503 |
7 | 1875 | 280 | 0.1493 | 0.2041 | 0.1511 |
8 | 1955 | 306 | 0.1565 | 0.2036 | 0.1517 |
9 | 3125 | 337 | 0.1078 | 0.1981 | 0.1571 |
10 | 1575 | 305 | 0.1937 | 0.2065 | 0.1487 |
Total: | 17790 | 3160 |
P-chart:
The process is out of control since 5 subgroups are out of
control.
i.e. the low proportion of defective items 7 and 9
and the high proportion of defective items 1,2 and 4
3) C-Chart: From the given data
Sample | defects |
1 | 7 |
2 | 12 |
3 | 3 |
4 | 20 |
5 | 21 |
6 | 5 |
7 | 4 |
8 | 3 |
9 | 10 |
10 | 8 |
11 | 0 |
12 | 9 |
13 | 6 |
14 | 7 |
15 | 20 |
.Total : 135
The process is out of control since 3 subgroups are out of
control.
i.e.the high number of defects per unit are 4,5 and 15