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Choose the appropriate control chart for your data. Determine the appropriate time period for collecting and plotting data. Collect data, construct your chart and analyze the data. Look for “out-of-control signals” on the control chart. Continue to plot data as they are generated.
Choose the appropriate control chart for your data. Determine the appropriate time period for collecting and plotting data. Collect data, construct your chart and analyze the data. Look for “out-of-control signals” on the control chart. Continue to plot data as they are generated.
1:22 8:14 Suggested clip How To Draw a Basic Control Chart in Excel 2010 — YouTubeYouTubeStart of suggested client of suggested clip How To Draw a Basic Control Chart in Excel 2010 — YouTube
First calculate your Center Line (the average or median of the data.) Next calculate sigma. The formula for sigma varies depending on the data. From the center line, drawl lines at ± 1 sigma, A 2 sigmas and A 3 sigmas. + 3 sigma = Upper Control Limit (UCL)
Calculate the Upper Control Limit (UCL), which is the mean of means plus three times the standard deviation. In this example, type “=F7+3×F8” (without quote marks) in cell F9 and press “Enter.” Calculate the Lower Control Limit (LCL), which is the mean of means minus three times the standard deviation.
If you're looking at measurement data for individuals, you would use an I-MR chart. If your data are being collected in subgroups, you would use a Barr chart if the subgroups have a size of 8 or less, or a Bars chart if the subgroup size is larger than 8.
The control chart is a graph used to study how a process changes over time. Data are plotted in time order. A control chart always has a central line for the average, an upper line for the upper control limit, and a lower line for the lower control limit.
The purpose of every control chart is to control the process so that output meets the standard. X-bar charts are used to identify whether the variations are within upper and lower limits measured from the central tendency of a process.
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