Statistical Process Control | Chart for Means (x-bar chart)
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- Опубликовано: 26 авг 2024
- This video shows how to construct x-bar chart from process data and determine if the process is in control.
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How to Construct a Control Chart in Excel:
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2 days of searching and watching long videos that did not clear anything up. and here are your videos, 4 minutes long with everything you need to know. great job, thank you very much.
spent 1 hour trying to understand this from my college notes and this guy just solved my problems in 3 mins. love you man!
Man you are the CEO of control charts, thank you so much
OY MY GHAD. I SWEAR MATHEMATICS IS FASCINATING BUT OVERWHELMING AT THE SAME TIME. THANK U FOR THIS!!!!
you saved me less then two hours before my final exam thank you sir may allah reward you jannah
Thank you very much. I scanned my textbook for hours trying to figure out these calculations and the way you explained was much more clear and allowed me to move forward. Looks like other commenters have experienced the same.
I am currently taking an operations and analysis class for my MBA, and the class confused me because the coursework was awful. This video was so helpful! Thank you.
Thank you for this brief and clear video
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Thank you for this. Less than 4 mins and I grasp the concept
My pleasure, Lazhan.
so simple, crisp and to the point, keep doing the good work. you voice modulation is also to the mark.
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Awesome explanation, still valid and simplified.. thank you.
My pleasure, Tapiwa. 🙏
best video on X-bar chart
Excellent presentation, thank you
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Lee it up man.
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My pleasure, Samkelo. Glad it helps.
Thanks for sharing this useful video
Perfectly clear and concise video. Thank you.
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The best video I've seen on this topic to date.
Thank you so much
Good definition sir
Super bro fantastic explanation
Since I knew your channel it has been my best learning center but I have lacked cusum charts sir, kindly find time to do a lesson on that.
Spr class easy to understand thnkuu sir
Thanks joshua explanation is very clearly 👍
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Thank you Joshua
why did we use A2 and not A3? how to determine?
Brilliant video joshua. You explained this very clearly and concisely :)
Joshua Emmanuel hey can you please do a video on cusum control chart on R studio.
Where and how to find value A2?
very well explained.❤
Thank you 🙂
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thanks for helping me
Thank youuuu❤
Excellent explanation. Thanks.
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Thank you ,easy simple explained
Thank you for being so clear.
Tq sirr ❤
Thank you 🙏 😭
Thank you boss!
Sorry pls I'm not still clear with how you get the Control constant
Just super again
Brilliant.
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Very Helpful video, Thankssss
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Thank you
Lovely explanation.
Solid explanation
Quality content
Thanks, Harsha.
Excellent video!
thank you
You are a genius
why did we took the value under 5 for A2?
Samples of size 5 were collected daily. See 1:10
Thank you!🙌
Brilliant! Thank you!
why choose sample size 5 why not the others? what makes you choose number 5
if the points you plotted were the same in the video, but the one out of control we within the UCL and LCL, would that mean it is in or out of control even if the majority of points is skewed upwards
awesome explanation.
Hello. It takes some time, sampling and processing to get to those UCL, LCL and mean value. So when you come to this situation like data point 5 is out of control then normally one cannot go on just like that but must consider what to do with this outlier and what to do with the limits...
When (condition) and how (procedure of recalculation) to reset the new upper&lower control limits. Is there a video or clear procedure for available ?
The existence of an outlier signals an out-of-control system. Given that history cannot be rewritten, the outlier cannot be erased, and subsequent recalculations are not possible. Rather, the outlier serves as a clear indication that the system was not operating correctly. It prompts the need to pinpoint the responsible factors and proactively address the root cause for a more reliable and stable system.
A set of data has a mean of .634 unit and a standard deviation of .005 unit. Construct an X Bar chart if the number of samples is 5
clear one
very helpful. thanks
If I am taking the daily 5 samples reading means, my LSL and USL will fluctuate. Then how to plot the values in daily basis(if am plotting daily avg values manually)
Thanks
But how to maintain its on shopfoor. How to operator filled this limit
Thnkyuuuu soo mucchhh sirr
Great job!!!
same data,range chart says process statistical in control, but mean chart says not..i am not clear...please explain sir
hi, how can we have n=1 ? Because in my SPC card, i have n=1 and i dont know why
Thank you so much sir...
Maybe can someone with a stats background answer this on here? If Joshua Emmanuel could himself that would be amazing. I've heard it said that setting up a control chart is essentially like doing a continuous test of hypothesis. In our case here, we are testing if the process is in control.
H0: The process is in control (perhaps an equivalent test(s) could be that the LCL or UCL is equal to the value that you have shown
H_alternative: The process is not in control.
This is essentially a two tailed test because the out of control point could be either beyond the UCL or the LCL.
My question is this... Assuming point P1 plots out of control. If we find an assignable cause to this point, is this not proof that our trial limits actually are good and the process was in control prior to this point?
If our limits are truly bad, it would seem to me that we would not be able to find an assignable cause for our "out of control" point. If we don't find this cause, that is probably because our "out of control" point really is in control for whatever larger bounds we are supposed to have.
I'm very confused.
Ho is a starting assumption that the process is in control.
If you find an assignable cause to P1, then the process is truly out of control (rejecting a false null hypothesis).
If you can’t find an assignable cause to the out of control P1, then you could be committing a Type I error if your limits are fine. It could be an error in measurement.
If your limits are truly bad (too wide margin), you may not be able to identify the out-of-control points (Type II error). If the margin is wrongly too small, you may incorrectly declare some of the in-control points as out-of-control.
Best vid, thanks!
How did u find the values of A2?