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Statistical Quality Control

Statistical Process Control is a statistical tool of Statistical Quality Control, used by the quality professional. Control Charts aid the Six Sigma professional in the process of determining if a process is under control.
All you need to do is to enter numbers separated by spaces and see the results immediately.

List of features:


- X-Bar Chart
- Range (R) Chart
- P-Chart
- C-Chart
- Process Capability, Cp, Cpk
- Theory and examples.

Statistical Process Control is applied in order to monitor and control a process. SPC can be applied to any process where the "conforming product" (product meeting specifications) output can be measured. Applied to Production processes as well as services, Hotels, Restaurants, Banks...

You could study the examples and try to design a method to monitor your production process or service.

Your last data are persistent. You can close and reopen your app and to continue adding data. data will be deleted when you start a new data set.

Your comments will be appreciated and I have the commitment of improve the application with more features.

Category : Education

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Reviews (9)

Rei. v. d. R. Jan 8, 2021     

Does not work on latest android

Sha. k. D. Feb 19, 2020     

Ridiculous and bad app. Number of observation don't work.

Rob. C. Jan 18, 2018     

Nearly useless, at least in the free version. Chart labels use a microscopic font that cannot be read, plots can't be saved except by screenshots. MS Excel is both easier amd more accurate. Anyone who finds this "useful" has really low expectations...

Gus. G. Dec 4, 2016     

I can't change the number of observations in control chat for variables,it stays in 2

LUN. S. Oct 27, 2017     

I'm studying and working as a quality control,most based in testing and inspection.this app has helped me alots,very usefull

BM. k. Jul 21, 2014     

Great app would however like ability to remove or decide sigma limits between 1, 2 or 3 as well as an mr chart.

Rob. I. Feb 15, 2018     

Love the app. Wouldn't mind seeing box plots and, certainly, larger labels. (First review in December, also 5 stars)

Dev. a. Jul 16, 2014     

Very cool

A. G. u. Sep 18, 2016     

What an exceptional app good work