P Chart and U Chart (Attribute Control charts)

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Hello Friends,
In this video, we are going to learn control charts for Attribute data (P chart and U chart) in detail. The Attribute Control Charts are used when the data is an attribute and we are interested in %Defectives or Defects Per Unit.
This video consists of the following topics:
• Introduction of Attribute Control Charts
• Selection of Attribute Control Chart based on the application
• Create P Chart with Practical Example in Minitab
• Interpretation of P Chart with Practical Example in Minitab
• Create U Chart with Practical Example in Minitab
• Interpretation of U Chart with Practical Example in Minitab
• Comparison of P Chart and U Chart
I am sure you will like it.😊
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And finally, thank you for watching…
0:00 Introduction
0:21 What is Attribute data?
1:10 P chart
1:49 Subgroup size for attribute charts
2:39 Creating the P chart with Example
3:31 Interpretation of P chart
4:36 U Chart
5:16 Creating the U chart with Example
6:12 Interpretation of U Chart
6:39 When and How to set new control limits
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[@nsr8060333]

Thanks very much for good efforts.

[@learnandapply]

Thank you so much for your valuable comments.

[@rakeshdas32]

thanks sir...very easily understandable.....

[@learnandapply]

Thank you for your valuable comments and appreciation😊🙏

[@batakrushnamahapatra5515]

Excellently explained sir. This is awesome

[@learnandapply]

Glad you liked it! Thank you for your valuable comments and appreciation! 🙏😊

[@kathirangamuthu3574]

Thanks for uploading such more informative video

[@learnandapply]

Thank you so much for your valuable comments and appreciation 😊🙏

[@charanishere]

Your explanation is awesome

[@learnandapply]

Thank you for your valuable comments.

[@batakrushnamahapatra5515]

By the way i should also thank you for the effort goes behind the scene to bring this on the table

[@learnandapply]

Comments like this make my day! Thank you for your valuable comments and appreciation! 🙏😊

[@charanishere]

This is better than classroom

[@learnandapply]

Thank you for your valuable comments.

[@vaibhavbarge9543]

Nice sir,👍👍

[@learnandapply]

Thank you for your valuable comments and appreciation😊🙏

[@shanedela_cruz7172]

This is a very informative video. Could you also help me with my project?. I’m not sure what control chart to use if you data points are the Score Percentage.

[@learnandapply]

Thank you so much for your valuable comments and appreciation 😊🙏 If your data is in percentage, then go for the p chart.

[@sandeeps7218]

Good explanation. Want to know that how many points are required to fix control limits for both continuous and attribute data

[@learnandapply]

Thank you Sandeep for your valuable comments. Control limits are typically established early in a project, during the baseline analysis. If you change the process during the project, the baseline control limits are no longer valid, and you should establish new control limits by re-estimating them from the data. Once the control limits are established, they should remain fixed to monitor the process or to assess process control. The control limits should be re-estimated only when the process changes, not every time you collect new data. For Attribute data, The required subgroup size (n) depends on the average proportion of defective items ( p bar). n=0.5/ p bar The number of data points needed in a control chart varies. For variable data used in an X-bar and range (R) chart, a minimum of three to five data points per sample and 20-25 groups of samples is appropriate. With an individuals (I) and moving range (MR) chart, in which the sample size is one because data occur much less frequently, 12-24 values are reasonable to compute the control limits. For attribute charts (p-chart), the suggested sample size is at least 50

[@michaela4946]

Very good job!. what program you use to create your videos ?

[@learnandapply]

Thank you. It's Videoscribe!!

[@pankajkumar-lw5pq]

fantastic

[@learnandapply]

Thank you so much for your valuable comments and appreciation! 🙏☺️

[@saraelkacimi1694]

Hello, thank you for your explanation. I have a question regarding the session slide: test result for p chart , I don't understand both tests,, esp number 2, why is the test failing on point 25, it's literally on the centerline so I'm confused. Would appreciate your response.

[@learnandapply]

Thank you for your valuable comments and appreciation😊🙏 There are 9 points in a row on the same side of the center line. This is an indication of special cause indicated by Test-2.

[@jezmasterx1144]

Nice video - i am confused which tests/rules apply when using p-chart? Is it only test1 and test2 or can all Nelson rules be used on p chart?

[@learnandapply]

Rules 1 to 4.

[@Chinna-zf2ij]

Pls provide a Iatf clauses video..

[@lowiiih]

good i need to use p chart in lean sigma project

[@learnandapply]

That's great! Thank you for your valuable comments and appreciation 🙏☺

[@lowiiih]

@@learnandapply welcome

[@gabybastar9712]

What program do you need to create these charts? Can I use Excel?

[@learnandapply]

It's Minitab. If you are going to use Excel, you have to use the templates.

[@dontblink9065]

Good video, not sure if you need that hand moving all over the screen.

[@learnandapply]

Thank you for your valuable comments.. It's not mandatory..

[@-ukn0wsoobin-839]

Great explanation. Tho, I believe there's another control chart for discrete data, it is C charts. When should this type be used?

[@-ukn0wsoobin-839]

Also, what if you only have the number of defectives, and you do not have data for the number of products/units examined. Can control charts still be used?

[@learnandapply]

Thank you for your valuable comments. Yes, C chart is nothing but the u chart with sample size constant.

[@learnandapply]

Yes, control chart can be used like individual value chart, but it won't be accurate if you didn't have the number of parts examined.

[@-ukn0wsoobin-839]

@@learnandapply thank you for your quick response :) Sample size in this case would mean the number of units examined? I'm really confused, since I do not use the number of units in the formula in using the c charts or u charts. For C charts this is is what I did: Say c = the number of defectives per month Ave. Number of defectives per month = total number of defectives/total number of months covered Control limits will be: Ave + or - (3*sqrt(ave)) Is this correct?

[@vladfarias]

Excellent! Calculate the Limits using Excel we take UCL = p + 3* Sq(p(1-p)/n) and LCL = p + 3* Sq(p(1-p)/n) which makes them constants. When we create a P chart in the Minitab the limits aren't constant. Why is that?

[@learnandapply]

Thank you so much for your valuable comments and appreciation! It will be constant if the sample size is constant. If the sample size varying then the control limits will also be varying.

[@Jorshh24]

@@learnandapply is it possible to calculate a fixed UCL and LCL with sample size varying?

[@learnandapply]

You need to calculate it first by using data. And later if you want to keep them as fixed control limits for implementation, then yes, you can do it. In that case, you need to specify them.👍

[@newthoughts7654]

calculate to kiye ni ucl lcl

[@learnandapply]

javed khan Thank you for your valuable comments Javed. I agreed, but understanding of concept is important. Calculation of control limits can be done easily by sigmaXL or Minitab or such softwares. If you want to calculate it manually , you can do it with the help of control limits calculation chart, but I will recommend you to please use available technology and invest your efforts in earning knowledge which software cannot do. It similar to use calculator for calculating daily things.

[@learnandapply]

If you still required it, I will mentioned it in control phase videos. Thank you for your valuable suggestions.

[@vigneshbabu547]

Explanation is good but unnecessary music

[@learnandapply]

Hmm, sorry for the disturbance and thank you so much for your valuable comments 😊🙏 These are the starting videos 😊

[@saimanoharanala1792]

Nice video. However, please remove the background music. It is distracting

[@learnandapply]

Yes, already worked on it in the recent videos. Thank you so much for your valuable comments and appreciation ☺🙏