| The SHEWHART Procedure | 
The following notation is used in this section:
   | 
process mean (expected value of the population of measurements)  | 
   | 
process standard deviation (standard deviation of the population of measurements)  | 
   | 
 mean of measurements in   | 
   | 
 range of measurements in   | 
   | 
 sample size of   | 
   | 
number of subgroups  | 
   | 
weighted average of subgroup means  | 
   | 
 100  | 
Each point on an 
 chart indicates the value of a subgroup mean (
). For example, if the tenth subgroup contains the values 12, 15, 19, 16, and 14, the value plotted for this subgroup is 
![]()  | 
By default, the central line on an 
 chart indicates an estimate for 
, which is computed as 
![]()  | 
 If you specify a known value (
) for 
, the central line indicates the value of 
. 
You can compute the limits in the following ways:
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  | 
|---|
 LCL   | 
UCL   | 
Probability Limits  | 
|---|
 LCL   | 
UCL   | 
Note that the limits vary with 
. If standard values 
 and 
 are available for 
 and 
, respectively, replace 
 with 
 and 
 with 
 in Table 13.65. 
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 a LIMITS= data set. 
Specify 
 with the SIGMA0= option or with the variable _STDDEV_ in a LIMITS= data set. 
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