It should be verified why things started off so great and then dipped very close to the lower control limit and stayed there for such a vast portion of the timeline. That being said, the fact that no values are outside of the lower control limit shows that the graph is at least somewhat accurate if not completely accurate, but it is worth of review nonetheless. Conclusion

In short, control charts are fairly basic in nature but have a wide variety of different possible applications. Indeed, there are not a lot of detailed charts like this that can be applied to varying different types of applications such as manufacturing and hospital environments. However, this is indeed the case and the tools are effective if used right. Using the tool well involves knowing precisely why one or more values are outside of the control chart LCL and UCL and whether it is because of a bad graph or a legit value that needs investigation.

Works Cited

Brito, Dayamin Martinez, Margarita Teresa Correa Vidal,...

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