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प्रश्न
From the following data, calculate the control limits for the mean and range chart.
| Sample No. | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| Sample Observations |
50 | 21 | 50 | 48 | 46 | 55 | 45 | 50 | 47 | 56 |
| 55 | 50 | 53 | 53 | 50 | 51 | 48 | 56 | 53 | 53 | |
| 52 | 53 | 48 | 50 | 44 | 56 | 53 | 54 | 549 | 55 | |
| 49 | 50 | 52 | 51 | 48 | 47 | 48 | 53 | 52 | 54 | |
| 54 | 46 | 47 | 53 | 47 | 51 | 51 | 47 | 54 | 52 |
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उत्तर
| Sample No. | Sample Observations |
`sum"X"` | `bar"X" = (sumx)/5` | `"R" = "x"_"max" - "x"_"min"` | ||||
| I | II | III | IV | V | ||||
| 1 | 50 | 55 | 52 | 49 | 54 | 260 | 52 | 55 – 49 = 6 |
| 2 | 51 | 50 | 53 | 50 | 46 | 250 | 50 | 53 – 46 = 7 |
| 3 | 50 | 53 | 48 | 52 | 47 | 250 | 50 | 53 – 47 = 6 |
| 4 | 48 | 53 | 50 | 51 | 53 | 255 | 51 | 53 – 48 = 5 |
| 5 | 46 | 50 | 44 | 48 | 47 | 235 | 47 | 50 – 44 = 6 |
| 6 | 55 | 51 | 56 | 47 | 51 | 260 | 52 | 56 – 47 = 9 |
| 7 | 45 | 48 | 53 | 48 | 51 | 245 | 49 | 53 – 50 = 8 |
| 8 | 50 | 56 | 54 | 53 | 47 | 270 | 54 | 57 – 50 = 7 |
| 9 | 47 | 53 | 49 | 52 | 54 | 255 | 51 | 54 – 47 = 7 |
| 10 | 56 | 53 | 55 | 54 | 52 | 270 | 54 | 56 – 52 = 4 |
| Total | `sum"X"` = 510 | `sum"R"` = 65 | ||||||
The control limits for `bar"X"` chart is
`\overset{==}{"X"} = (sumbar"X")/"Number od samples" = 510/10` = 51
`bar"R" = (sum"R")/"n" = 65/10` = 6.5
UCL = `\overset{==}{"X"} + "A"_2 bar"R"`
= 51 + 0.577(6.5)
= 51 + 3.7505
= 54.7505
= 54.75
CL = `\overset{==}{"X"}` = 51
UCL = `\overset{==}{"X"} - "A"_2 bar"R"`
= 51 – 0.577(6.5)
= 51 – 3.7505
= 47.2495
= 47.25
The control limits for Range chart is
UCL = `"D"_4bar"R"`
= 2.114(6.5)
= 13.741
CL = `bar"R"` = 6.5
LCL = `"D"_3bar"R"` = 0(6.5) = 0
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संबंधित प्रश्न
Define chance cause
Define a control chart
Define the mean chart
What are the uses of statistical quality control?
Ten samples each of size five are drawn at regular intervals from a manufacturing process. The sample means `(bar"X")` and their ranges (R) are given below:
| Sample number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| `bar"X"` | 49 | 45 | 48 | 53 | 39 | 47 | 46 | 39 | 51 | 45 |
| R | 7 | 5 | 7 | 9 | 5 | 8 | 8 | 6 | 7 | 6 |
Calculate the control limits in respect of `bar"X"` chart. (Given A2 = 0.58, D3 = 0 and D4 = 2.115) Comment on the state of control
The following data show the values of sample mean `(bar"X")` and its range (R) for the samples of size five each. Calculate the values for control limits for mean, range chart and determine whether the process is in control.
| Sample Number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| Mean | 11.2 | 11.8 | 10.8 | 11.6 | 11.0 | 9.6 | 10.4 | 9.6 | 10.6 | 10.0 |
| Range | 7 | 4 | 8 | 5 | 7 | 4 | 8 | 4 | 7 | 9 |
(conversion factors for n = 5, A2 = 0.58, D3 = 0 and D4 = 2.115)
In a certain bottling industry the quality control inspector recorded the weight of each of the 5 bottles selected at random during each hour of four hours in the morning.
| Time | Weight in ml | ||||
| 8:00 AM | 43 | 41 | 42 | 43 | 41 |
| 9:00 AM | 40 | 39 | 40 | 39 | 44 |
| 10:00 AM | 42 | 42 | 43 | 38 | 40 |
| 11:00 AM | 39 | 43 | 40 | 39 | 42 |
Choose the correct alternative:
The quantities that can be numerically measured can be plotted on a
Choose the correct alternative:
A typical control charts consists of
The following are the sample means and I ranges for 10 samples, each of size 5. Calculate; the control limits for the mean chart and range chart and state whether the process is in control or not.
| Sample Number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| Mean | 5.10 | 4.98 | 5.02 | 4.96 | 4.96 | 5.04 | 4.94 | 4.92 | 4.92 | 4.98 |
| Range | 0.3 | 0.4 | 0.2 | 0.4 | 0.1 | 0.1 | 0.8 | 0.5 | 0.3 | 0.5 |
