Assignment:
Q: Refer to table below - Factors for computing control chart limits (3 sigma) for this problem . A process that is considered to be in control measures an ingredient in ounces. Below are the last ten samples ( each of size n=5) taken. The population standard deviation is 1.40.
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SAMPLES |
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| 1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
| 11 |
9 |
13 |
11 |
12 |
10 |
11 |
13 |
7 |
9 |
| 8 |
9 |
10 |
11 |
11 |
9 |
12 |
10 |
8 |
12 |
| 11 |
11 |
10 |
12 |
9 |
8 |
9 |
9 |
12 |
10 |
| 9 |
11 |
9 |
9 |
10 |
12 |
9 |
9 |
13 |
7 |
| 12 |
10 |
10 |
9 |
9 |
10 |
9 |
7 |
9 |
13 |
Standard deviation of the sampling means = _____ ounces (round to 3 decimals)
With z= , the control limits for the mean chart are:
UCL x-bar = ____ ounces (round to 3 decimals)
LCL x-bar = _____ ounces (round to 3 decimals)
The control limits for the R-chart are:
UCL R = ____ ounces ( round to 3 decimals)
LCL R = ____ ounces ( round to 3 decimals)
Based on the x-chart, the process is: a) In Control or b) Out of control
Based on the R-chart, the process is: a) In Control or b) Out of control