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In this week's SPC Reference Guide, we're going to talk all about the upper control limit and lower control limit.
Site:
https://www.youtube.com/watch?v=MAcGHwf6qsg
An I chart is a type of control chart used to track the number of defects or errors in a process. The LCL (lower control limit) is the lower limit of the control chart. A negative LCL indicates that the process is producing more defects or errors than expected.
Site:
https://www.spcforexcel.com/knowledge/i-chart-with-negative-lcl
SPC can be used to monitor the random variation in a process and decide if changes in the process, or assignable causes, are warranted.
Site:
https://support.minitab.com/en-us/minitab-express/1/help-and-how-to/quality-and-process-improvement/control-charts/how-to/i-charts/using-i-charts/
An I-Chart (or i-chart) is a type of control chart used to monitor the number of defects or errors in a process.
Site:
https://www.qimacros.com/i-chart
The number of defects or the number of defectives found in each sample is recorded on the i-chart.
Site:
https://www.statgraphics.com/quality-control-spc/i-chart
In this video, we will learn about I chart which is used to monitor the number of defects or errors in a process. We will discuss how to create an I chart and how to interpret the results.
Site:
https://www.youtube.com/watch?v=H8s5FcXrCps
The primary purpose of a control chart for attributes is to track the number of conforming or nonconforming items (defects) in samples collected over time.
Site:
https://www.isixsigma.com/dictionary/i-chart-attributes/
An I-chart is used to track the number of defects or the number of defectives in each sample. A U-chart is used to track the number of defects per unit.
Site:
https://www.minitab.com/en-us/support/knowledge-base/quality-and-process-improvement/control-charts/using-control-charts/i-and-u-charts/
Control charts for attributes are used to track the proportion of defective items in a sample, or the number of defects per unit.
Site:
https://stats.libretexts.org/Bookshelves/Applications/Book%3A_Introductory_Statistics_(Shafer_and_Zhang)/12%3A_Control_Charts/12.2%3A_Control_Charts_for_Attributes
Control charts are a graphical tool for monitoring a process to see whether it is in control.
Site:
https://www.statisticshowto.com/control-charts/