In: Operations Management
How many observations should a time study analyst plan for in an operation that has a standard deviation of 3.23 minutes per piece if the goal is to estimate the mean time per piece to within .16 minute with a confidence of 98.36 percent?
Hint: When rounding your answer follow exactly the same steps as what the equivalent problem set from your homework. Canvas will only accept the whole number. No decimal places.
| standard deviation, σ | 3.23 | m/pc |
| mean time per piece to within | 0.16 | m |
| confidence | 0.9836 | |
| z value | 2.134523 | |
| Let the number of observations be n. | ||
| sample std deviation, s = σ/√n | ||
| Upper Limit = mean + z*s | ||
| Lower limit = mean - z*s | ||
| upper limit - lower limit = 2*z*s | ||
| confidence interval = upper limit - lower limit | ||
| hence, | ||
| 0.16=2*z*s | ||
| 0.16=2*z*σ/√n | ||
| √n=2*z*σ/0.16 | ||
| n=(2*z*σ/0.16)^2 | ||
| n=(2*2.13*3.23/0.16)^2 | ||
| n= | 7427.227 | |
| hence, the number of observations should be 7428 |
formulas used:

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