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                     sample averages, whereas specification limits are related to popula-
                     tion distributions of parts. It is desirable to have the specification lim-
                     its as large as possible compared to the process control limit.
                       The control limits represent the 3 s points, based on a sample of n
                     observations. To determine the standard deviation of the product pop-
                     ulation, the central limit theorem can be used:

                                              s =
                                                  n
                     where Six Sigma for Electronics Design and Manufacturing  (3.5)
                      s = standard deviation the distribution of sample averages
                        = population deviation
                      n = sample size
                       Multiplying 1/3 the distance from the centerline of the X   chart to
                     one of the control limits by  n  will determine the total product popu-
                     lation deviation. A simpler approximation is the use of the formula
                       = R  /d 2 from control chart factors in Table 3.1 to generate the total
                     product  standard  deviation  directly  from  the  control  chart  data.  d 2
                     can be used as a good estimator for   when using small numbers of
                     samples and their ranges.
                     3.2.4 X  , R variable control chart calculations example
                     Example 3.1
                     In this example, a critical dimension for a part is measured as it is be-
                     ing inspected in a machining operation. To set up the control chart,
                     four measurements were taken every day for 25 successive days, to
                     approximate  the  daily  production  variability.  These  measurements
                     were then used to calculate the limits of the control charts. The meas-
                     urements are shown in Table 3.2.
                       It should be noted that the value n used in Equation 3.5 is equal to
                     4, which is the number of observations in each sample. This is not to
                     be confused with the 25 sets of subgroups or samples for the historical
                     record of the process. If the 25 samples are taken daily, they represent
                     approximately a one-month history of production.
                       During the first day, four samples were taken, measuring 9, 12, 11,
                     and 14 thousands of an inch. These were recorded in the top of the
                     four columns of sample #1. The average, or X  , was calculated and en-
                     tered in column 5, and the R is entered in column 6.
                                X   Sample 1 = (9 + 12 + 11 + 14)/4 = 11.50
                       The range, or R, is calculated by taking the highest reading (14 in
                     this case), minus the lowest reading (9 in this case).
                                       R Sample 1 = 14 – 9 = 5
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