This is the BEST video in internet to understand Attribute Charts with Examples. I wish i found this video first. Thanks

I paid over $3000 usd for a this class in college, and it was not a good class. 18 minutes of this video, FREE, and I understand these charts better. thank you

One of the best out of few I watched. Excellent explanation. Nicely done.

These videos are the best on KZread. Thanks for the quality content and for helping me pass the green belt exam!

@CQEAcademy

2 жыл бұрын

Wow thanks so much Sara!!! You're welcome!! By the way, for anyone else out there preparing for the green belt exam - check out greenbeltacademy.com!

Best Explanation, great job!!. Thank you!!

I've been struggling to understand the charts and I finally found the right video. Thank you

You videos are always so clear and easy to understand - thank you so much for having created these videos and helping me study and understand various concepts for my lean six sigma green belt exam!!

@andyrobertson566

2 жыл бұрын

You're welcome, and I appreciate the great feedback! Best of luck on your green belt exam!

Great. You made this so simple. 👌

I like all your content Andy, it's really helpful

@CQEAcademy

Жыл бұрын

Thanks so much!!!

really appreciate your efforts! thanks so much!

@CQEAcademy

2 жыл бұрын

You're welcome!!!

Million likes for your videos. Really appreciated.

@CQEAcademy

2 жыл бұрын

Thanks Nguyen!

Amazing content. Thanks for the video.

Nice presentation. I was very helpful.

@CQEAcademy

Жыл бұрын

Thanks!

Excellent explanation.Thank you very much

@CQEAcademy

2 жыл бұрын

You're welcome Prabhakaran!!! -Andy

Thank you Sir! Another great video

@CQEAcademy

3 жыл бұрын

You're welcome!!!!!!

Very well done explanation of attribute control charts..

@CQEAcademy

2 жыл бұрын

Thanks Victor!!! i'm glad you liked it! -Andy

This video was REALLY helpful and detailed, thanks

@CQEAcademy

28 күн бұрын

Glad it was helpful!

Would love a video on variable control chart types and how to choose between them! Love your videos

@CQEAcademy

10 ай бұрын

Check out this video: kzread.info/dash/bejne/c55rzqyFgpCdkpc.html

This vid is so underrated

@CQEAcademy

Жыл бұрын

Wow, thanks so much Satya!

It was a really great explanation Thank You

@CQEAcademy

2 жыл бұрын

I'm glad you liked it Siva!!! -Andy

thank you for this video

@CQEAcademy

3 жыл бұрын

you're welcome Jitendra!

Great explaination

@CQEAcademy

2 жыл бұрын

Thanks!!!

Thankyou

This video is extremely useful.. It helped us with our tests.. thanks a ton!!

@CQEAcademy

Жыл бұрын

You're absolutely welcome, I'm glad the videos were so helpful!

@user-yq9kr9sy9i

Жыл бұрын

@@CQEAcademy honored by your reply.. could you please upload videos on two tailed F-tests or ANOVA please? With examples ..

@CQEAcademy

Жыл бұрын

@@user-yq9kr9sy9i Hey there K, I'll add an ANOVA video to the to-do list

Thank you for your explanation in the video. Can i used some prinsip if i have the data of finished good, (non defect product)? Or maybe is there any other way to check control limit of those data? Thank you

This is by far the best explanation on Attribute Data Control Charts that I have managed to find - thank you!...But I wondered whether you could provide any further detail on exactly what we mean when we are talking about 'subgroups' / 'lots' - ideally with an example. I was initially thinking this could refer to aspects like 'factory location', or specific 'parts' (e.g parts of a car for 'defectives' example), but surely for the control chart to be plotting meaningful performance of a partcicular process over time, the data points need to be based on output of the same/comparable process?

Thank you for detail information. How to determine process monitoring and control chart period ?

@CQEAcademy

Жыл бұрын

Hey There! Okay, so usually control charts should be considered an on-going process. Generally, you want to wait to collect around 25 sequential sub-groups of data before calculating control limits. Then, the frequency of which you collect another sub-group of data is really up to you.

Hi there, thank you for the video. By the way can you let me know how do i decide what is the best sample size for an attribute chart?. Which tools do i use to "calculate" or estimate the best suitable sample size for attribute chart.

That's great

@CQEAcademy

2 жыл бұрын

You're welcome Jannatul!!!

You really really help me thank you very much I have exam tomorrow 🤩🙏

@andyrobertson566

2 жыл бұрын

You're welcome!!! I'm happy to help!

Hi, thank you for making these videos! Your videos are truly easily to understand and super well structured. One question: you mention that the NP & P Chart are based on binomial distributions and that C / U Chart are based on Poisson distribution. Why is that the case? It would be terrific to get any pointers here. Thank you again!

@CQEAcademy

Жыл бұрын

Hey Andreas!! Great question, so the NP and P chart are based on the binomial distribution, because one of the assumptions is that there are a fixed number of outcomes to any experiment - and for control charts that means conforming or non-conforming. For a C / U chart, there can be multiple defects, which means that this assumption in the binomial distribution cannot be met, so we must move to the poisson distribution where multiple outcomes are possible (multiple defects per parts being inspected).

Hi .. can we implement on process of a providing services not a physicals product and what would be the difference of measuring a service process rather than a production process ? ... Thank you in advance

Are the KZread videos that you provide enough to pass the exam. I am definitely still considering doing your course asap, but I need some more information.

@andyrobertson566

Жыл бұрын

Hey There Timeng! so be honest, no, the youtube videos are not enough. I probably only cover 20% of the CQE body of knowledge for free here on KZread. Which is why I recommend the course, which covers every topic, and gives you every resource you need to be successful on exam day!

Hi Andy, on your discussion for u-chart, your UCL/LCL has n-bar but in other books I see its n(i), not n-bar. Could you clarify?

Wow easy to understand, Hey Sir, Could you calculate Process Capability for Attribute Data? (For C chart example)

@CQEAcademy

2 жыл бұрын

Thanks Ardan! Yes, you can estimate process capability with discrete data - although that's probably a whole seperate video, but basically you estimate your DPMO, and most process capability tables correlate DPMO with Cpk

Hey, I was just wondering why 3 in every UCL and LCL formula? Is there an specific reason for it to be 3 times the square root of the parameters? Can the 3 be changed in certain situations? Thx in advance!

@CQEAcademy

3 жыл бұрын

Hey David, the 3 ensures that we capture the +/- 3 sigma. That term to the right of the 3 reflects the standard deviation associated with those control charts, so when we multiple by 3, we get +/- 3-sigma, which is the expected, normal variation. It's not very standard to change the 3. If you were to reduce it, you'd increase the "alpha risk" associated with your control charts, meaning that you'd be getting "out of control points" when the process was really just experiencing normal cause variation.

How can you help me create a control chart for Pressure injury

Hi! I work in Healthcare Facility and we count the number of patients visit emergency department on monthly basis. Which type of control chart recommended to be used and what category these data is classified

@CQEAcademy

3 жыл бұрын

Hey Maher, if you're just counting the number of patients visiting, this would be equivalent to counting defect items - 1 person is a single visitor. And since you're not really sampling, you're simply just counting, i'd use an NP chart. If you were trending the number of "ailments" per month, where one visitor could have multiple ailments, that would be like counting defects. -Andy

Hii. Your video is really great and extremely helpfull. I just wanted to ask you if you could tell me if there is any possibility to find real datasests from real companies to use for a calculation?

@CQEAcademy

Жыл бұрын

Hey Mila! Unfortunately most companies don't publish or share their SPC data, so I'm not aware of any real datasets to analyze

Hi, can i know what is the t chart in SPC? Is there any others name for it and what is it? Look forward for ur reply, thank you.

Sir please explain scatter diagram from basic ,like which data is used for scatter diagram .how the 2 variables are correlated with each other ?

@CQEAcademy

2 жыл бұрын

That's a good suggestion, I can add that to my to-do list.

Hello Mr. Robertson, I have a question following your very clear and helpful videos. Once I calculated CL, UCL and LCL the data belong to the "past". Now a new lot was produced. How do I incorporate the new data in the CL's? After how many new lots should I update the limits? Do I disregard the first lots from the calculations? What is the periodic update recommended ?

@CQEAcademy

2 жыл бұрын

Hey Jose, great question, in fact I would argue that this is one of the trickiest parts of SPC, because there isn't a specific answer to that question. It really depends a lot on your process. Technically, if your process is "stable" and "in control" you shouldn't expect much change in your range chart, (or the width of your X-bar chart). This is especially true if you setup your sub-groups correctly to be "rationale" in that they only capture common cause variation. But what can change is the centerline of your process. You might have long term sources of common cause variation that might change the center of your process, and force a recalculation of the limits. Like I mentioned though, there aren't any hard and fast rules around this and it depends on your process.

@josechvaicer7328

2 жыл бұрын

@@CQEAcademy Thank you Andy. It seems everything actually (past, present and future) depends on the process performance. Considering that special cause cases the updade should be as soon as detection occurs, I am still looking for a reasonable or recommended "moving update number" of samples on common cause processes. Is there any?

@CQEAcademy

2 жыл бұрын

@@josechvaicer7328 Not that I'm familiar with Jose. What I would recommend is an experiment. Choose a set number of sub-groups and re-calculate the control limits after that set number. If you find that the control limits don't change often, increase that number. If they change more often (and you still feel confident that the process is only experiencing common cause variation) then decrease that number.

@josechvaicer7328

2 жыл бұрын

@@CQEAcademy Trial and error.....should give the answer. Thank you for the practical hint.

Hello , I really enjoy your videos, say you have 80 observations, each observe a number of people waiting in a line, which Control Chart would you use for it? if I try np I won't be able to get the P-bar

@greenbeltacademy

2 жыл бұрын

Hey Faisal, will you have the same 80 people in line every day? If not, and the daily sample size changes, you'll want to use either the U chart or the P chart.

I'm just wondering how can u-chart take variable sample size?

Excellent video! Now, since SPC charts always look to the past (what HAS happen) what would be the guidelines for establishing the "looking ahead" period or days to renew the graphs?

hey thanks for the video. where could I find the cheat sheet?

@CQEAcademy

9 ай бұрын

You're welcome! You can find that resource here: cqeacademy.com/FreeCheatSheet

13:36 does that also apply to the other Attributes Data Control Chart?

@osteoprofitness

2 жыл бұрын

Yes

Hi! Where can I get a powerpoint presentation just like this one? Thank you!

@CQEAcademy

2 жыл бұрын

Hey Ayessa!!! I made this presentation myself, it's sort of my secret sauce :)

Regarding the defect vs defectives… I thought that the unit wouldn’t be considered defective unless the defects prevent the product from functioning. Meaning just because a unit has a defect on it, it wouldn’t be considered defective.

@andyrobertson566

3 жыл бұрын

Hey There! Okay so that definition I provided is the generic definition of a defective item. It's possible that your organization might have a slightly different definition that's risk based and considers the impact to functionality. If your organization has a rule that allows you exclude a failure mode from being "defective" based on its impact to the customer, you could simply exclude that from consideration while executing your control chart. The real key part of that definition is whether or not the entire unit is counted as good or bad - which allows you to use the Binomial distribution and the P-chart or the NP Chart.

@zguitarmaster

3 жыл бұрын

@@andyrobertson566 thanks for the quick response!

Can Lower control limit could be negative in NP chart ??

@CQEAcademy

2 жыл бұрын

Hey Dhandapani, great question! Okay, so think about what the Y-Axis is for the NP chart. We're counting the number of defective units, and it is impossible to have a negative number of defects. If the calculation for the LCL for an NP chart is a negative number, you can simply drop the LCL or set it at zero. Depending on how close the LCL is to zero, having zero defective units might be cause for alarm (under-inspection) or it might just be simple, random variation. -Andy

Can I get the templates of 7 old QC charts with formulas from internet that I may input data to seeing the results.

@CQEAcademy

Жыл бұрын

Hey Albert! I would personally recommend trying to build alot of the QC tools in excel yourself - it's a great way to confirm that you understand how to perform all of the calculations, but also test your excel skills in terms of building charts. And for some of the QC tools (flow charts, C&E diagram) I would first recommend building these tools with post-it notes, and then converting them into a digital product using something like powerpoint.

@albertlee8342

Жыл бұрын

Yes, thank you so much for suggestions of self learning again. I have threw all text books as small living place, the books which I bought in2006 for QM MSc in Uni of HK, some formulas I have really forgotten. Now I want to relearning for using in my job

What if your lot sizes change but your samples stay the same? Should that be treated the same as your sample sizes varying?

@markenriquez6937

2 жыл бұрын

Also is there an attribute chart that captures when I have more than pass/fail? I have a heat pipe soldering requirement that recieves X-ray inspection and the customers spec has an target / acceptable / fail criteria and it seems like it would valuable to capture when it is in acceptable condition in addition to target and fail.

@CQEAcademy

2 жыл бұрын

Hey Mark, yes I would use the p chart or the u chart in this scenario

is that a colorado state university rams flag in the background??

@CQEAcademy

Жыл бұрын

Good eye Davon!!! I am a proud CSU Ram!!!

@davongrant1368

Жыл бұрын

@@CQEAcademy So cool!!! I played basketball at Adams State down in Alamosa, so it stood out to me. A couple friends of mine are CSU alum from 2014/2015 graduating classes. Thank you for all your knowledge and insights. I feel even more of a personal connection! All the best! Cheers! 🥂

@CQEAcademy

Жыл бұрын

@@davongrant1368 Same to you Davon!!! And I appreciate the comment and the great feedback!!!

a consize method for remembering

@greenbeltacademy

2 жыл бұрын

Thanks!!!

Butt🥺 why when I calculate I'm getting math error 😢

@CQEAcademy

2 жыл бұрын

Hmmm that's odd, at which point are you getting an error???

@raghudotnet

8 ай бұрын

@@CQEAcademyboth P and u chart the LCL and UCL am getting different values, what’s the value to be considered as u-bar or P-bar, for example in the ucl of u bar example, if I recheck u-bar is 750.69 in that equation if I reverse calculate

@CQEAcademy

8 ай бұрын

Hey @@raghudotnet U-bar should be 7.5% and is calculated as 117 defects, divided by 1,560 units inspected.

C Chart UCL and LCC values are wrong

@CQEAcademy

Жыл бұрын

Hey Jaya, what values do you calculate?