Statistical Process Control: Control Charts for Proportions (p-chart)

This video explains how to calculate centreline, lower control limit, and upper control limit for the p-chart. Equal and unequal sample sizes are discussed.
How to Construct a Control Chart in Excel:
• How to Construct a Con...
See also
c-chart
• SPC 4: c - chart (Cont...
x-bar chart
• Statistical Process Co...
R-chart
• Statistical Process Co...

[@maracuja320]

I cannot even tell how much your summaries helped me to prepare for my exams! You managed to explain in 4 minutes what my prof. wasn't able to explain properly in the entire lecture. Great job! Thank you so much :)

[@suddude7481]

I exactly said the same thing to my friend before reading the comments section what is explained here in 4 minutes the professor were unable to clear this matter in 1 hour.

[@JustBidnez]

God bless you man! I've been scrambling all day looking for an explanation for this for an upcoming test. You saved my ass today! Thanks again!

[@azizulhaque1132]

same here bro

[@iLykeCahrs]

It takes a South African guy on KZbin to teach an America student. My professor spent 2 lectures covering what you did in 4 minutes.

[@noel1872]

S A M E here I'm from the Philippines, and I'm currently taking BS Industrial Engineering program I badly need this in my Quality Control course

[@officialmintt]

@@noel1872 S A M E here. UK Manufacturing Engineering

[@clye7788]

this is racist

[@daarknlovlee]

Thanks so much! I had no idea what my professor was talking about until I watched this video.

[@lildennys3756]

The UCL and LCL will vary when the sample sizes are not the same. In other words, the control limits have to be calculated for each individual proportion (p) based the sample size for that observation (n).

[@mikaelanieva]

you are such a great teacher! thank you for teaching so clearly!

[@beezman]

Thank You! Amazing visual and easy to understand. Straight to the point.

[@chriskunsak3963]

I have to echo what I'm seeing others say here... I LOVE YOU!! This was truly the best descriptive video I've seen... better than classes I've attended. I'm sure I'll go back over this a few more times and will book mark it for future reference. Thanks for putting this together!!

[@joshemman]

Thanks for stopping by and leaving a positive comment Chris. A lot of love from here too.

[@chriskunsak3963]

I'm still working on my charts but am hoping you have other video's ... i'll check out your site shortly! Enjoy your Friday... and have a great weekend Joshua!

[@jacobbiju3355]

Thank you so much man. You guys are the reason we somehow learn the subject without the help of any useless teachers in college.

[@susanokobi2154]

in the last 8 weeks, I have struggled with my course. one day on your page I have learned so much. thank you for making it easy.

[@ThanosSiozos]

I appreciate your presentation here. When you have different sample sizes n(i) you should adjust the UCL LCL by dividing not by nbar under the root but by the specific n(i) sample size. So UCL/LCL should change with every new sample. In fact they are mirrored around the pbar value.

[@nadianursyuhaidah7286]

This is very straightforward and super helpful, Thank you so much!!

[@christopheryong6345]

Much clarity in this video tutorial. Thank You

[@amaneeoneal2046]

You are amazing! A real/ natural teacher.

[@saudy999]

I love your teaching style THANK you

[@jamiedewberry6702]

Thanks for these videos, they may have saved me on the PE exam because I could not find a good explanation of this stuff and the book info was not making sense Well done and I greatly appreciate what you did.

[@lordprior8052]

thank you, this is brilliant! lectures didn't help at all but this, this is something else!

[@marwaadel6153]

شرحك رائع، شكرا جدا جدا رزقك الله سعادة الدارين 🤲

[@hydenlukemanigo4150]

YOU'RE THE BEAST! thanks a lot kind sir

[@RK-li7gr]

THATS AMAZING THANK YOU FOR THE VIDEO Joshua!!

[@sameerbhamra8110]

made it so easy to understand. THANK YOU!!!

[@kumargandharva9146]

love the way you explain............. hats off for this video

[@user-uy7mt7vr6f]

Another sophisticated presentation.

[@nickypandat340]

Your videos is very helpful for me its is short , To the point and easy to understand thank you🙏

[@oluwatosinetomi1340]

Thank you for making it look simple.

[@Rokibul_Islam_TQM]

Thank you so much dear brother, well explained.

[@oupamoloi885]

you make things simple bro, thank you

[@kishorek231009]

Thanks for the video, especially helpful when working persons are solving problems without guidance, I mistook that 3 as cube root.

[@pushprajsingh3500]

thank you so much for this tutorial and the efforts made by you

[@jamalyoussef5480]

Awesome expalantion i love it

[@403sheraz]

perfect way of explain, many thanks , keep it up Sir

[@sivachandrasekaran2544]

Very useful and clearly explained. Thank you.

[@jennhollifield9883]

Thank you so much for this. It has helped me very much!

[@hareendrarathnaweera7877]

Thank sir.. You have done a great job!

[@emilywang9575]

Very clearly, thank you.

[@marcusagrippa7584]

Thanks Joshua, it helped a lot!

[@advaitmandlik3901]

Ur a genius man! thanks!!

[@shayiramusthafa3964]

Thank you so much sir. I had no idea about this calculation part. Now i got it.

[@sparkes3]

Soo very helpful! Thank you so much, sir.

[@EPICALPwoliaan]

Damn bro you are a legend ♥️💯

[@levyhartlane3621]

Good explanation, keep it up!!!

[@sauraodalvi2502]

U explained that soo well , thanks

[@necteacher]

your video is very interesting to learn ,may i know which software you used to develop it

[@rachelofosu1956]

Very helpful video, thank you

[@anirbanchakraborty9132]

nice video sir....like your methodology!

[@kamalthelegendkiller]

Thank you Sir. Appreciate your video!

[@joshemman]

You're welcome, Kamal.

[@lungamthombeni5376]

Well explained thank you so much

[@selvaprakash1434]

Great job...nice...easy to understand

[@bobbie_2020]

Excellent video!

[@study_with_me_393]

thank you so much.it gets so easy for me

[@lilawolfe1547]

Thank you! So much better than my professor

[@ilsando3550]

very clear explanation. Much better than my uni lecture

[@manoharbonu9665]

I'm from India sir from Andhra pradesh state . I really proud of myself. I search proper video.

[@joshemman]

Proud of you, Manohar.

[@abumujtabaelemam1305]

Hello. If ihave Tube has Quality characteristic is Out side Diameter we have to measure in one piece or tube in 5 points.the supplier send 10 pieces what the suitable chat for this case.

[@oncheemmanuel5349]

You're good. Thanks

[@gurjeevankaur3844]

Its so helpful!!!!

[@rubyleopard]

amazing video mate

[@mohammadyacoub8287]

Thanks for this valuable video

[@_MarianaGarcia]

How do you generate that last visual of the p-chart? is it on Word/ Excel?

[@aylamendonca3500]

But if the number of non conformers is 0, so I will count the sample size for that case two? For example, in this example that you show, if the day 2 is 0 (instead of 12) I stil need to consider the sample size 287 in my calculations?

[@joshemman]

Yes. If the number of non-conformers is 0, you still need to include the sample size.

[@alluvenkatasubbaiah8428]

I understand clearly thank you sir

[@sanjeevkumarbathe]

it need past data for constructing chart , how we will construct chart with 1 sample , 6 sample size and 2 non conforming part.

[@mirandachapman5477]

Many Thanks!!!

[@jananibaskar6936]

Oh my God thank you so much

[@deborahbalkaranbeadle2695]

Hi Joshua, Do you private tutoring or test prep help?

[@bhawnajoshi5493]

Nailed it bro

[@B2U567]

You're amazing!!

[@joshemman]

You too!!

[@tomstorm7926]

Thanks man.

[@akellochristine4811]

wanted to know at the point of drawing the LCL, UCL, and p bar line in the chart , do we consider the readings on the vertical axis. and do we plot the proportion values against the number of samples. please clarify. am a bit confused at that point.

[@joshemman]

The proportions are the values on the vertical axis. Since this is time series data, the horizontal axis is sessentially a timeline.

[@shyamprakash6778]

Very nice . good class

[@saifbinamro7412]

i love you

[@YxZMyself]

you have a variable sample size..UCL and LCL should reflect that rather than be uniform across the entire data set. correct me if i'm wrong

[@joshemman]

Sure. See 3:00.

[@YxZMyself]

yes i noticed however your formula still gives a single UCL and LCL which is what i'm pointing out. The graph also has uniform control limits for all the days.

[@oliviascarlet123]

It looks like the one value out of control is from the smallest sample size that should have a wider set of control limits. I recalculated the UCL using the actual n value (120). The actual UCL is 0.114 and the process is still out of control. When possible avoid variable sample size since it can be misleading.

[@haroonejaz857]

You are right... I have also read that for variable sample size, the UCL and LCL are also formed in a variable manner (moving up and down) as the graph progresses.

[@130_vikassingh7]

Thank you sir 🙏🙏

[@Buderus69]

And that's Peach Art - thank you

[@Abidkhatrii]

how can i findout the sample size?

[@santosh_gutte]

Thank you 🤗

[@MsTohotmos]

More than excellent

[@SatyaTheKims]

How we identify the charts in problems??

[@pauldhinakaran3929]

Could you please post I_MR individual moving range chart .There are lot videos available but nothing explain well n basic like yours' .Pls post for us .

[@444.nyokabi]

Thank you sir

[@jeanies_tips]

thankyou

[@manorajkumar1053]

Informative

[@dimitrz2000]

2:50 Just wondering based on Nelson's rule 4 & 7 wouldn't this indicate potential problem ?

[@joshemman]

I'm not familiar with Nelson's rules.Different rules are used in different environments & different goals. You will have to find the ones that apply to yours and implement them.

[@dimitrz2000]

@@joshemman thanks mate 🙂

[@mskindia2841]

What about defectives found in the process though process in statistically under control ?

[@joshemman]

There will always be defectives. If we say that the process in control, we're just saying that things have not gone way out of control. It does not necessarily mean that the process is working perfectly.

[@vinising]

Thanks

[@suddude7481]

Just super

[@muhammadtayyab8228]

p chart has varaibale sample size, how can you get one UCL & LCL? UCL & LCL will change at each sample? please correct me if I'm wrong

[@joshemman]

See 2:56

[@sureshchandana7738]

Dear Sir,please ex-plane to me why that Y axes use proportion name & why not use unit weight ??

[@joshemman]

This is a p-chart. Therefore, the y-axis should consist of proportions.

[@mohdmuneer5075]

thank u

[@siphamandlamathaba2354]

Can you also do EOQ MODELS

[@abumujtabaelemam1305]

I have to check the out sude dimeter in 5 points so for 1 tube i have 5 points

[@huntersingleton5008]

this is all great but what about z score?? you just completely ignored it

[@yousrayousuf9529]

Can anyone please tell that why we put n=200 during the calculation of uper and lower control limits

[@joshemman]

Samples of size 200 were selected each day. See 0:58

[@yousrayousuf9529]

Thank you

[@crystaldominque2586]

Thank you so much! Can you make a video on how to do the p chart in excel?

[@crystaldominque2586]

Just specifically for this problem? I'm having a hard time for some reason doing it in excel.

[@joshemman]

@@crystaldominque2586 See if this helps: kzbin.info/www/bejne/hqWmoWqrf9x8fas

[@katlegolebelwane3318]

👏👏👏👏

[@narenNBN]

which software do you use for making this video ??

[@joshemman]

+Naren Bobbili PowerPoint and Camtasia Studio.

[@narenNBN]

+Joshua Emmanuel thanks a lot for replying with such spontainity man !

[@stevenphiri8041]

What happens when you are not give the sample size? please help

[@joshemman]

It has to be given somewhere. Look carefully.

[@sanjaypal5139]

please describe np chart and u chart

[@samkab677]

What ucl and lcl represent ?

[@joshemman]

Upper Control Limit Lower Control Limit

[@samkab677]

Joshua Emmanuel what is tthe condition rule for working with it ? Data < ucl... acept data ? Or how ?

[@joshemman]

You probably should consult your textbook. The rules are different for some courses.

[@freshfresh8235]

Wow