You are considering relaxing your control requirements that determine what is acceptable quality; you have been using a 99.0% confidence interval but want to begin using a 97.5% confidence interval.
Your team has collected the following data from 4 samples of 7 observations each. The calculated standard deviation is 13.981.
Sample 1 | Sample 2 | Sample 3 | Sample 4 | |
Obs 1 | 392.2 | 415.1 | 413.6 | 416.2 |
Obs 2 | 392.3 | 408.1 | 394.9 | 388.1 |
Obs 3 | 405.4 | 428.6 | 410.1 | 408.2 |
Obs 4 | 410.3 | 398.2 | 410.8 | 419.5 |
Obs 5 | 423.3 | 403.3 | 423.2 | 385.8 |
Obs 6 | 413.9 | 421.1 | 402.7 | 431.0 |
Obs 7 | 426.7 | 433.5 | 385.8 | 390.2 |
What is the UCL for the mean given the new confidence interval of 97.5%? (Keep one decimal point in your answer)
Solution:
The Upper control limit (UCL) is calculated as below;
UCL = X-bar + [Z-value x /SQRT(n)]
where,
X-bar = Process mean
Z-value (for 97.5% confidence interval) = 1.96 (Using Excel’s NORMSINV function)
n = Number of observations in each sample = 7
= Standard deviation = 13.981
X-bar is calculated as below:
Sample 1 Average = (392.2 + 392.3 + 405.4 + 410.3 + 423.3 + 413.9 + 426.7) / 7 = 409.2
Sample 2 Average = (415.1 + 408.1 + 428.6 + 398.2 + 403.3 + 421.1 + 433.5) / 7 = 415.4
Sample 3 Average = (413.6 + 394.9 + 410.1 + 410.8 + 423.2 + 402.7 + 385.8) / 7 = 405.9
Sample 4 Average = (415.2 + 409.7 + 405.6 + 423.3 + 385.8 + 431.0 + 390.3) / 7 = 408.7
X-bar = (409.2 + 415.4 + 405.9 + 408.7) / 4
X-bar = 409.8
Putting all the values in the above formula, we get;
UCL = X-bar + [Z-value x /SQRT(n)]
UCL = 409.8 + [1.96 x 13.981/SQRT(7)]
UCL = 409.8 + 10.4
UCL = 420.2
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