See SHWTSC1 in the SAS/QC Sample LibraryNelson (1989, 1994) describes the use of standardization to apply the tests for special causes to data involving varying subgroup samples. This approach applies the tests to the standardized subgroup statistics, setting the control limits at and the zone boundaries at and . For instance, for an chart with subgroup means and varying subgroup sample sizes , the tests are applied to the standardized values , where estimates the process mean, and s estimates the process standard deviation. You can request this method with the TESTNMETHOD= option,[97] as illustrated by the following statements:
ods graphics off; title 'Analysis of Assembly Data'; symbol v=dot; proc shewhart history=Assembly; xrchart Offset * Sample / mu0 = 20 sigma0 = 2.24 tests = 1 to 4 testnmethod = standardize testlabel = space vaxis = 16 to 26 by 2 wtests = 1 split = '/'; label OffsetX = 'Avg Offset in cm/Range'; run;
Here the tests are applied to . The chart, shown in Figure 17.180, displays the results of the tests on a plot of the unstandardized means.
The following statements create an equivalent chart that plots the standardized means:
data Assembly; set Assembly; zx = ( OffsetX - 20 ) / ( 2.24 / sqrt( OffsetN ) ); run;
ods graphics off; title 'Analysis of Standardized Assembly Data'; symbol v=dot; proc shewhart history=Assembly (rename = (OffsetR=zr OffsetN=zn)); xrchart z * Sample / mu0 = 0 sigma0 = 2.2361 /* sqrt 5 */ limitn = 5 alln tests = 1 to 4 testlabel = space vaxis = -4 to 6 by 2 wtests = 1 split = '/'; label zx = 'Std Avg Offset/Range'; run;
Here, the SIGMA0= value is the square root of the LIMITN= value. The chart is shown in Figure 17.181.
Note: In situations where the standard deviation is estimated from the data and the subgroup sample sizes vary, you can use the SMETHOD= option to request various estimation methods, including the method of Burr (1969).
[97] If the TESTNMETHOD= option were omitted in this example, the tests would not be applied, and a warning message would be displayed in the SAS log.