Note: See p Charts with Unequal Subgroup Sample Sizes in the SAS/QC Sample Library.
The following statements create a SAS data set named Battery
, which contains the number of alkaline batteries per lot failing an acceptance test. The number of batteries tested in each
lot varies but is approximately 150.
data Battery; length lot $3; input lot nFailed Sampsize @@; label nFailed = 'Number Failed' lot = 'Lot Number' Sampsize = 'Number Sampled'; datalines; AE3 6 151 AE4 5 142 AE9 6 145 BR3 9 149 BR7 3 150 BR8 0 156 BR9 4 150 DB1 9 158 DB2 4 152 DB3 0 162 DB5 9 140 DB6 7 161 DS4 6 154 DS6 1 144 DS8 5 154 JG1 3 151 MC3 8 148 MC4 2 143 MK6 4 150 MM1 4 147 MM2 0 150 RT5 2 154 RT9 8 149 SP1 3 160 SP3 9 153 ;
The variable nFailed
contains the number of battery failures, the variable Lot
contains the lot number, and the variable Sampsize
contains the lot sample size. The following statements request a p chart for this data:
ods graphics off; title 'Proportion of Battery Failures'; proc shewhart data=Battery; pchart nFailed*Lot / subgroupn = Sampsize turnhlabels font = 'Lucida Console' outlimits = Batlim; label nFailed = 'Proportion Failed'; run;
Here the FONT= option is used to specify the name of a hardware font to be used for the p chart. In this case the requested font is Lucida Console, a Windows TrueType font. See SAS/GRAPH: Reference and SAS Companion for Microsoft Windows for more information about hardware and TrueType fonts.
The chart is shown in Output 18.24.1 and the OUTLIMITS=
data set Batlim
is listed in Output 18.24.2.
Output 18.24.1: A p Chart with Varying Subgroup Sample Sizes
Note that the upper control limit varies with the subgroup sample size. The lower control limit is truncated at zero. The sample size legend indicates the minimum and maximum subgroup sample sizes.
Output 18.24.2: Listing of the Control Limits Data Set Batlim
The variables in Batlim
whose values vary with subgroup sample size are assigned the special missing value V.
The SHEWHART procedure provides various options for working with unequal subgroup sample sizes. For example, you can use the LIMITN= option to specify a fixed (nominal) sample size for computing the control limits, as illustrated by the following statements:
title 'Proportion of Battery Failures'; proc shewhart data=Battery; pchart nFailed*Lot / subgroupn = Sampsize limitn = 150 alln outlimits = Clim2 yscale = percent; label nFailed = 'Percent Failed'; run;
The ALLN option specifies that all points (regardless of subgroup sample size) are to be displayed. By default, only points for subgroups whose sample size matches the LIMITN= value are displayed. The YSCALE= option specifies that the vertical axis is to be scaled in percentages rather than proportions. The chart is shown in Output 18.24.3.
Output 18.24.3: Control Limits Based on Fixed Subgroup Sample Size
All the points are inside the control limits, indicating that the process is in statistical control. Because there is relatively little variation in the sample sizes, the control limits in Output 18.24.3 provide a close approximation to the exact control limits in Output 18.24.1, and the same conclusions can be drawn from both charts. In general, care should be taken when interpreting charts that use a nominal sample size to compute control limits, because these limits are only approximate when the sample sizes vary.