(Note: I could have asked you what the change in the expected loss is when the process is changed to the expected dimension of 78.04, and the variance of 0.45, but I will leave it as your own practice.)
Table 4.1 Quality Dimensions and their Frequency
Quality Dimensions |
Frequency |
75 |
30 |
76 |
70 |
77 |
280 |
78 |
500 |
79 |
100 |
80 |
10 |
81 |
10 |
Let the random variable, x = quality dimension
The expected value and the variance for the random variable x is obtained using the following formula,
From the data values,
x | f | f*x | f*x^2 |
75 | 30 | 2250 | 168750 |
76 | 70 | 5320 | 404320 |
77 | 280 | 21560 | 1660120 |
78 | 500 | 39000 | 3042000 |
79 | 100 | 7900 | 624100 |
80 | 10 | 800 | 64000 |
81 | 10 | 810 | 65610 |
Sum | 1000 | 77640 | 6028900 |
The expected value is,
The variance is,
The expected deviation is,
The expected loss is,
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