Your table should have columns: Day, A, B, C, D. Copy-paste the means from all tables into one and name columns accordingly (A, B, C, and D). How do you compare the process output before noon and afternoon? Are they different?Ĥ - Use data filter and tabulate to create summary tables for means of the lengths per day sampled at the following times: Save this control chart window as a script: 3-b Save this control chart window as a script: 3-a Select samples in two different groups using filter: Save your charts as script to data table and name them accordingly (2-1, 2-2.)ģ-Use data filter on your control chart of length sub-grouped by day.
Save chart window as script to data table (name script as 1-chart)Ģ- If samples are taken every day at the same time (only at 8:30, or only at 9:30 …) which sampling times and days show the process is out of control? (Hint: Use a local data filter on your control chart from question 1 to answer this question). If not in control, explain by pointing out on which days the samples indicate the process is out of control. Use “Test beyond limits” option to highlight out of control points.
Comment on whether the process is “in control”. Name of the operator working with the machine at the time of sampling.ġ - Creat control charts for “Length” of the flange bolts, subgroup by day. Machine: a nominal value for the machine used for making the sample.Length: a continuous value measuring length of the flange bolts sampled.Sample: A nominal value recording the time of sampling.Day: a nominal value for recording day of sampling.8 samples were taken each day, one every hour, starting at 8:30 AM. The assignment data file for your group is a sampling record for 20 days at The ACME Flange Bolt Production Shop which uses 4 machines and 4 operators.
During class, we will discuss this case study and work through the analysis.
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