Example of a clustered bar chart of data in a two-way table

At an umbrella manufacturing facility, umbrella handles are measured and then removed from the assembly line if they don't meet specifications. A daily report indicates how many rejected handles were produced by each of three presses at the facility during each of three shifts. A quality engineer wants to determine whether press and shift are associated.

As part of the initial investigation, the engineer creates a bar chart to compare the number of rejected handles for each machine and shift.

  1. Open the sample data, UmbrellaHandles.MTW.
  2. Open the dialog box.
    • Mac: Choose Graphs > Bar Chart > Summarized values for each category in a table > Two-way table > Clustered.
    • PC: Choose GRAPHS > Bar Chart > Summarized Data > Data in a Two-Way Table > Clustered.
  3. In Summary variables, enter 1st shift, 2nd shift, and 3rd shift.
  4. In Column of row labels, enter Machine ID.
  5. Click OK.

Interpret the results

The highest number of rejected handles is made by machine 2 during the first shift. The lowest number of rejected handles is made by machine 2 during the 3rd shift.

Summary Statistics
 
1st shift
2nd shift
3rd shift
Machine ID
Count
Percent
Count
Percent
Count
Percent
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