Question: Refer to Table S6.1 - Factors for Computing Control Chart Limits (3 sigma) LOADING... for this problem. A process that is considered to be in
Refer to Table S6.1 - Factors for Computing Control Chart Limits (3 sigma)
LOADING...
for this problem.
A process that is considered to be in control measures an ingredient in ounces. Below are the last 10 samples (each of size n = 5) taken. The population process standard deviation is
1.36.
| Samples | |||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| 10 | 14 | 13 | 10 | 13 | 9 | 9 | 12 | 9 | 11 |
| 8 | 11 | 9 | 10 | 9 | 9 | 10 | 9 | 7 | 13 |
| 9 | 13 | 10 | 12 | 10 | 9 | 11 | 7 | 12 | 9 |
| 8 | 13 | 10 | 10 | 10 | 13 | 7 | 10 | 11 | 7 |
| 11 | 12 | 9 | 9 | 11 | 9 | 9 | 9 | 8 | 13 |
Part 2
a) Standard deviation of the sampling means =
enter your response here
ounces (round your response to three decimal places).
Part 3
b) With z =
3,
the control limits for the mean chart are:
UCLx
=
enter your response here
ounces (round your response to three decimal places).
Part 4
LCLx
=
enter your response here
ounces (round your response to three decimal places).
Part 5
c) The control limits for the R-chart are:
UCLR
=
enter your response here
ounces (round your response to three decimal places).
Part 6
LCLR
=
enter your response here
ounces (round your response to three decimal places).
Part 7
d) Based on the
x-chart,
is one or more samples beyond the control limits?
Yes
No
.
Part 8
Based on the R-chart, is one or more samples beyond the control limits?
No
Yes
.
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