The following notation is used in this section:
process mean (expected value of the population of measurements) |
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process standard deviation (standard deviation of the population of measurements) |
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mean of measurements in |
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sample size of |
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the number of subgroups |
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weighted average of subgroup means |
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median of the measurements in the
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average of the subgroup medians:
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median of the subgroup medians. Denote the
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standard error of the median of |
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100 |
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100 |
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100 |
Each point on a median chart indicates the value of a subgroup median (). For example, if the tenth subgroup contains the values 12, 15, 19, 16, and 14, the value plotted for this subgroup is
.
The value of the central line indicates an estimate for , which is computed as
by default
when you specify MEDCENTRAL=AVGMEAN
when you specify MEDCENTRAL=MEDMED
when you specify
with the MU0= option
You can compute the limits
as a specified multiple () of the standard error of
above and below the central line. The default limits are computed with
(these are referred to as
limits).
as probability limits defined in terms of , a specified probability that
exceeds the limits
The following table provides the formulas for the limits:
Control Limits |
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LCLM |
UCLM |
Probability Limits |
LCLM |
UCLM |
Note that the limits vary with . In Table 15.26, replace
with
if you specify MEDCENTRAL=AVGMEAN, and replace
with
if you specify MEDCENTRAL=MEDMED. Replace
with
if you specify
with the MU0= option, and replace
with
if you specify
with the SIGMA0= option. The formulas assume that the data are normally distributed.
You can specify parameters for the limits as follows:
Specify with the SIGMAS= option or with the variable _SIGMAS_ in a LIMITS= data set.
Specify with the ALPHA= option or with the variable _ALPHA_ in a LIMITS= data set.
Specify a constant nominal sample size for the control limits with the LIMITN= option or with the variable _LIMITN_ in a LIMITS= data set.
Specify with the MU0= option or with the variable _MEAN_ in the LIMITS= data set.
Specify with the SIGMA0= option or with the variable _STDDEV_ in the LIMITS= data set.