A production manager at a Contour Manufacturing plant has inspected the number of defective plastic molds in five random samples of 35 observations each. Following are the number of defective molds found in each sample:
Construct a 3-sigma control chart (z = 3) with this information. (If the lower control limit is negative, round the LCL to zero and all other answers to 2 decimal places, e.g. 15.25.)
CL:
UCL:
LCL:
Sample | Number of Defects |
Number of Observations in Sample |
||
1 | 0 | 35 | ||
2 | 1 | 35 | ||
3 | 2 | 35 | ||
4 | 1 | 35 | ||
5 | 2 | 35 | ||
Total | 6 | 175 |
To solve this given problem, we'll first find the mean and standard deviation of the five samples through MS Excel functions Average and STDEV respectively
The mean of the given data = 1.20
The Standard deviation of the given data = 0.84
Sample size = n = 35
Since the required sigma level = 3
UCL = Mean + [3 x (SD / Sqrt(n)] = 1.20 + [3 x (0.84 / sqrt(35)]
= 1.20 + [3 x 0.14] = 1.62
LCL = Mean - [3 x (SD / Sqrt(n)] = 1.20 - [3 x (0.84 / sqrt(35)]
= 1.20 - [3 x 0.14] = 0.78
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