Statistical Process Control | Chart for Means (x-bar chart)

Thank you for this. Less than 4 mins and I grasp the concept

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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.

Tq

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amazing explanation, he cut the long story Short and Simple.
Lee it up man.
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very helpful and straightforward! thank you

can i use control chart to controling sales or order performance from customer? which control chart should I use?

Thanks

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Thank you boss!

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?

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.

Best video ever💝

thanks for helping me

Excellent explanation. Thanks.

Spr class easy to understand thnkuu sir

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

It is a joy watching your videos, simple and smooth...

hi, how can we have n=1 ? Because in my SPC card, i have n=1 and i dont know why

what is the table for A2 where is it , like a statistical table

so simple, crisp and to the point, keep doing the good work. you voice modulation is also to the mark.

Thank you!🙌

clear one

why choose sample size 5 why not the others? what makes you choose number 5

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

Concise and simple explanation but easy and clear to understand

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Thank you Joshua

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Thank you

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.