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 :)
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.
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!!
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!
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).
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.
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.
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.
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.
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.
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.
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.
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.
Thank you for this video, sir. Can I ask a question about p chart, please? I have read this sentence "The p control chart is used to determine if the fraction of defective items in a group of items is consistent over time". I don't understand the meaning of the word consistent in that sentence. For example, the proportion of defective products is 0.05%. I assume that what the word consistent means is that the proportion of products is always 0.05% every day. Are my assumptions correct? Please explain this, sir.
For a p-chart, “consistent” doesn’t mean that the proportion of defective products is exactly 0.05% every day. Instead, it means that the proportion of defective products stays within a certain range over time, without showing significant variation or trends that would indicate a problem in the process. For example, if the proportion of defective products is 0.05% on average, a consistent process might have daily proportions that vary slightly around this average, such as 0.04%, 0.06%, or 0.05%. The key is that these variations are within acceptable limits and do not show a trend pattern of increasing or decreasing proportion of defects.
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?
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.
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 .
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 :)
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.
Congrats, Joshua. You have the talent to make things simple, clear, and understandable. Thanks for your videos.
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!
same here bro
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!!
Thanks for stopping by and leaving a positive comment Chris. A lot of love from here too.
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!
Thanks so much! I had no idea what my professor was talking about until I watched this video.
It takes a South African guy on TH-cam to teach an America student.
My professor spent 2 lectures covering what you did in 4 minutes.
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
@@noel1872 S A M E here. UK Manufacturing Engineering
this is racist
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.
Thank you so much man. You guys are the reason we somehow learn the subject without the help of any useless teachers in college.
thank you, this is brilliant! lectures didn't help at all but this, this is something else!
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).
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.
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.
شرحك رائع، شكرا جدا جدا
رزقك الله سعادة الدارين 🤲
You are amazing! A real/ natural teacher.
Good Explanation.
Thanks for taking the time to drop a note.
I'm from India sir from Andhra pradesh state . I really proud of myself. I search proper video.
Proud of you, Manohar.
Your videos is very helpful for me its is short , To the point and easy to understand thank you🙏
Another sophisticated presentation.
Thank you for making it look simple.
Much clarity in this video tutorial.
Thank You
I love your teaching style THANK you
Thank you Sir. Appreciate your video!
You're welcome, Kamal.
very clear explanation. Much better than my uni lecture
Thank you so much sir. I had no idea about this calculation part. Now i got it.
Thank you! So much better than my professor
2:50 Just wondering based on Nelson's rule 4 & 7 wouldn't this indicate potential problem ?
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.
@@joshemman thanks mate 🙂
Thanks for the video, especially helpful when working persons are solving problems without guidance, I mistook that 3 as cube root.
Good explanation, keep it up!!!
This is very straightforward and super helpful, Thank you so much!!
you make things simple bro, thank you
Thank you so much, from Kenya JKUAT
🙏
Thank You! Amazing visual and easy to understand. Straight to the point.
Damn bro you are a legend ♥️💯
love the way you explain............. hats off for this video
you are such a great teacher! thank you for teaching so clearly!
perfect way of explain, many thanks , keep it up Sir
THATS AMAZING THANK YOU FOR THE VIDEO Joshua!!
YOU'RE THE BEAST! thanks a lot kind sir
Ur a genius man! thanks!!
Very useful and clearly explained. Thank you.
Great job...nice...easy to understand
thank you so much for this tutorial and the efforts made by you
Hi Joshua,
Do you private tutoring or test prep help?
Thank you so much for this. It has helped me very much!
thank you so much.it gets so easy for me
made it so easy to understand. THANK YOU!!!
Thanks Joshua, it helped a lot!
Thank you so much dear brother, well explained.
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
Sure. See 3:00.
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.
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.
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.
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.
The proportions are the values on the vertical axis.
Since this is time series data, the horizontal axis is sessentially a timeline.
your video is very interesting to learn ,may i know which software you used to develop it
How do you generate that last visual of the p-chart? is it on Word/ Excel?
Soo very helpful! Thank you so much, sir.
Excellent video!
nice video sir....like your methodology!
Thanks for this valuable video
Thank sir.. You have done a great job!
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.
U explained that soo well , thanks
Can you also do EOQ MODELS
I understand clearly thank you sir
Thank you for this video, sir. Can I ask a question about p chart, please? I have read this sentence "The p control chart is used to determine if the fraction of defective items in a group of items is consistent over time". I don't understand the meaning of the word consistent in that sentence.
For example, the proportion of defective products is 0.05%. I assume that what the word consistent means is that the proportion of products is always 0.05% every day. Are my assumptions correct? Please explain this, sir.
For a p-chart, “consistent” doesn’t mean that the proportion of defective products is exactly 0.05% every day. Instead, it means that the proportion of defective products stays within a certain range over time, without showing significant variation or trends that would indicate a problem in the process.
For example, if the proportion of defective products is 0.05% on average, a consistent process might have daily proportions that vary slightly around this average, such as 0.04%, 0.06%, or 0.05%. The key is that these variations are within acceptable limits and do not show a trend pattern of increasing or decreasing proportion of defects.
@joshemman Thank you very much😅
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?
Yes. If the number of non-conformers is 0, you still need to include the sample size.
i love you
amazing video mate
Thank you so much! Can you make a video on how to do the p chart in excel?
Just specifically for this problem? I'm having a hard time for some reason doing it in excel.
@@crystaldominque2586 See if this helps:
th-cam.com/video/PtCp7uJwIGI/w-d-xo.html
how can i findout the sample size?
Awesome expalantion i love it
Very nice . good class
it need past data for constructing chart , how we will construct chart with 1 sample , 6 sample size and 2 non conforming part.
Dear Sir,please ex-plane to me why that Y axes use proportion name & why not use unit weight ??
This is a p-chart. Therefore, the y-axis should consist of proportions.
You're amazing!!
You too!!
What about defectives found in the process though process in statistically under control ?
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.
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
See 2:56
How we identify the charts in problems??
Its so helpful!!!!
Very clearly, thank you.
Very helpful video, thank you
You're good. Thanks
which software do you use for making this video ??
+Naren Bobbili
PowerPoint and Camtasia Studio.
+Joshua Emmanuel thanks a lot for replying with such spontainity man !
this is all great but what about z score?? you just completely ignored it
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 .
Well explained thank you so much
Can anyone please tell that why we put n=200 during the calculation of uper and lower control limits
Samples of size 200 were selected each day. See 0:58
Thank you
Oh my God thank you so much
please describe np chart and u chart
What happens when you are not give the sample size? please help
It has to be given somewhere. Look carefully.
Thank you sir 🙏🙏
I have to check the out sude dimeter in 5 points so for 1 tube i have 5 points
Hey bro you make 1 error if sample size is same you have to use NP Chart but if sample size is different than you use P Chart
Good one. The issue is that most people don't use the NP chart.
Nailed it bro
More than excellent
And that's Peach Art - thank you
Informative
Thanks man.
What is n bar formula bro
Plz faster
Can any one
nbar = n if all the sample sizes are the same, as in 1:42.
If not all sample sizes are equal then nbar is the average of the sample sizes, as in 3:19.
What ucl and lcl represent ?
Upper Control Limit
Lower Control Limit
Joshua Emmanuel what is tthe condition rule for working with it ? Data < ucl... acept data ? Or how ?
You probably should consult your textbook. The rules are different for some courses.
Thanks
Many Thanks!!!
Thank you 🤗