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.
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.
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.
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
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)
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.
Can we either choose to solve the UCL and LCL by using the mean or range or should go hand in hand because it may display different results in term variability, right ? Meaning variations that can be seen using the range cannot be seen using the mean
I feel like crying🥺😩 the way my lecture made this simple stuff complex and his videos depressed me, I had to go through the confusing textbook searching for this. Thank you so much so these videos.
You are to construct an x-bar chart such that the control limits would include 97% of the sample means, where the random samples would be of size 5; this it say that type I error would occur with 3% probability. The process standard deviation is known to be 3.2. The following data is used to construct the control chart. You are to calculate the UCL only. Round your answer to TWO places of decimal. Sample # obs 1 obs 2 obs 3 obs 4 obs 5 1 17 16 17 10 17 2 16 17 15 10 20 3 13 20 11 12 20 4 18 18 12 20 18 5 17 15 15 10 15 can you please solve this?
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!!!!
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.
you saved me less then two hours before my final exam thank you sir may allah reward you jannah
I just love how brief these videos are even as the information is high quality.
Thank you for this brief and clear video
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.
I have referred my classmates to your channel. You are amazing at explaining
One of the best explanation videos I've come across. Thank you so much for your clear and easy to follow video!
Thank you for this. Less than 4 mins and I grasp the concept
My pleasure, Lazhan.
I seen many videos,but I couldn't not understand now it was clear for my exams Thank you................
Your tutorial is amazing, clear and easy to follow, thanks alot
so simple, crisp and to the point, keep doing the good work. you voice modulation is also to the mark.
It is a joy watching your videos, simple and smooth...
Thanks. I have been trying to understand this for an exam and this cleared every thing in less than 4 minutes. Very informative and helpful
Hands down the easiest to follow video I have seen. THANK YOU!
Excellent and crisp explanation
Teaching method is good sir....m able to learn...very easy way....thank u so much....me lord God Jehovah's bless uh...
I think you are a Master in quick and superb explanations.
best video on X-bar chart
Concise and simple explanation but easy and clear to understand
You were born for this 👏👏👏
I am excited! Thank you!
Awesome explanation, still valid and simplified.. thank you.
My pleasure, Tapiwa. 🙏
one of the best video i found on you tube...............thanks for your effort
The best video I've seen on this topic to date.
amazing explanation, he cut the long story Short and Simple.
Lee it up man.
❤
Perfectly clear and concise video. Thank you.
Brilliant video joshua. You explained this very clearly and concisely :)
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.
It is sooooo awesome !!!!!! ❤️
I have watched all of them available on ytube urs is the best I must say!
very helpful and straightforward! thank you
YOU ARE A LIFE SAVER !
Excellent presentation, thank you
Thanks joshua explanation is very clearly 👍
best explanation on this website thank you sir
nice and crisp video sir
Thank you - clear and easy to follow!
thanks for your clear presentation.
Thank you so much, you're awesome
Thanks for sharing this useful video
Wow so simple and clear. Thanks very much 💕👌🏽🙏🏽👏
Super bro fantastic explanation
Spr class easy to understand thnkuu sir
Excellent explanation. Thanks.
why did we use A2 and not A3? how to determine?
Thanks, sir! it's a very clear explanation.
man you saved my mba
Thank you for being so clear.
the best. saved my life
very well explained.❤
Thank you 🙂
Thank you so much, this was incredibly helpful!
reaaallllyyyy helpfullll
Best video ever💝
Excellent video!
thank you so much, really save my life!
Thank you Joshua
Thank you ,easy simple explained
Brilliant! Thank you!
Thank you so much
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.
But how to maintain its on shopfoor. How to operator filled this limit
Joshua Emmanuel hey can you please do a video on cusum control chart on R studio.
Where and how to find value A2?
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
why choose sample size 5 why not the others? what makes you choose number 5
Thank you!🙌
Very Helpful video, Thankssss
Good definition sir
How did u find the values of A2?
why did we took the value under 5 for A2?
Samples of size 5 were collected daily. See 1:10
Lovely explanation.
can i use control chart to controling sales or order performance from customer? which control chart should I use?
Control charts help you better understand what has already happened so you can take necessary action. A control chart does not control anything.
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)
same data,range chart says process statistical in control, but mean chart says not..i am not clear...please explain sir
Sorry pls I'm not still clear with how you get the Control constant
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.
You are a genius
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
awesome explanation.
hi, how can we have n=1 ? Because in my SPC card, i have n=1 and i dont know why
Solid explanation
Can we either choose to solve the UCL and LCL by using the mean or range or should go hand in hand because it may display different results in term variability, right ? Meaning variations that can be seen using the range cannot be seen using the mean
Yes. Mean is for variation in the centers; Range is for variation in the difference between minimum and maximum values.
Joshua Emmanuel Thank you 🙏 and your video is super brilliant, short and concise. It helped me a lot 😌
I feel like crying🥺😩 the way my lecture made this simple stuff complex and his videos depressed me, I had to go through the confusing textbook searching for this. Thank you so much so these videos.
My pleasure, Samkelo. Glad it helps.
thanks for helping me
What if sample size is uneven.
Thank you boss!
Great job!!!
Why 5? at 2:32?
Because daily sample size is 5.
and when is A3 used?
Thank you 🙏 😭
Thank youuuu❤
Tq sirr ❤
what is the table for A2 where is it , like a statistical table
www.bessegato.com.br/UFJF/resources/table_of_control_chart_constants_old.pdf
Or just search for "control chart constants"
very helpful. thanks
Quality content
Thanks, Harsha.
You are to construct an x-bar chart such that the control limits would include 97% of the sample means, where the random samples would be of size 5; this it say that type I error would occur with 3% probability. The process standard deviation is known to be 3.2. The following data is used to construct the control chart.
You are to calculate the UCL only. Round your answer to TWO places of decimal.
Sample # obs 1 obs 2 obs 3 obs 4 obs 5
1 17 16 17 10 17
2 16 17 15 10 20
3 13 20 11 12 20
4 18 18 12 20 18
5 17 15 15 10 15
can you please solve this?
Why you took value on n as 5 from table
n is the size of each sample. It is not the number of samples.
Best vid, thanks!