A quality engineer at a canning company assesses whether the can-filling process is in control. Each hour, the engineer collects a subgroup of 10 cans. To minimize the within-subgroup (can-to-can) variation, the engineer collects the cans for a given subgroup in a short period of time.

The quality engineer creates a S chart to monitor the variation in the weight of the cans.

  1. Open the sample data, CanWeight.MTW.
  2. Choose Stat > Control Charts > Variables Charts for Subgroups > S.
  3. From the drop-down list, select All observations for a chart are in one column, enter Weight.
  4. In Subgroup sizes, enter Subgroup ID.
  5. Click S Options.
  6. On the Tests tab, select 1 point > K standard deviations from center line (Test 1) and K points in a row on same side of center line (Test 2).
    If you are not sure which tests apply in your specific situation, use Tests 1 and 2.
  7. Click OK in each dialog box.

Interpret the results

None of the points are outside the control limits, and the points display a random pattern. Thus, the process variation is in control, and the engineer can examine the process center on the Xbar chart.

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