I've watched many "introductions" of "6 sigma" and found no one was as clear as this one. Now I can stop searching for next "Introduction to 6 sigma". Great explanation! Thanks
z transforms normal distribution to standard distribution & give you what should be the value for 6 standard deviation. You clarified fundamental concept of six sigma' Excellent!
(1.97 x 10 to power -9) x 3451= 6.79 X 10 to the power -6 < 6.8 x10 to the power -6. the Chance of a limit out of the specification boundaries= 1.97 x 10 to power -9 & the Chance of a limit out of the control limit= 6.8 x 10 to the power -6. That is the reason you stated in the end The chance of a limit out of the specification boundaries 3451 times less than the Chance of a limit out of the Control limit. Thanks
Why organizations like Motorolla and GE settle for 3 Sigma from 6 sigma quality due to the 1.5 shift, and not 4 Sigma from six sigma quality? It still leaves .5 sigma. (with respect the UCL in this case). You have done an outstanding presentation. Could you please answer this question. Thanks.
Could you put a video on making control chart, normal distributionm, z standard distribution (to determine the variation from mean 4.5 standard deviation allows),histrogram (Objective is higher frequencey around mean), & give example of using Fishbone diagram (Cause & Effect) for distribution centers. Is there a tool to determine what 20 percent of the causes are causihg 80 percent of the disturbance
Salam Amir. I like your video. You explained clearly how to use z to show what sigma value should be Couldyou also explain using Excel 2007 tools to create control chart, normal distribution, z distribution, histogram Also, is there a tool to use Isakawa daigram (Cause & Effect) to identify cause & request corrective actions. Is there a tool to use Pareto chart to identify 20 percent of problems/causes responsible for 80 percent of disturbance.to focus on 20 percent when usuing Ishakawa
Thank you for your post.Pls help me to understand a basic concept related to Cp and 6sigma. Definition 1 for Capable process Cp=(USL-LSL)/6sigma This means that if in the tolerance range of the customer(USL-LSL), we can we fit 6sigma, than the process is capable. Definition 2 for Capable process If between the closest specification limit (USL or LSL) to the mean there is a 6sigma interval, then the process is capable. But if so, shouldn't Cp=(USL-LSL)/12sigma Witch definition is wrong, why?
though it's a bit late, I may be able to provide an answer. Cp indicates if your process is "capable". But 6 sigma is for quality control, as you can see the prob of defects in 6 sigma is much lower. As commonly accepted, Cp or Cpk = 2.00 means your quality is at 6 sigma level.
Amir, please make this clear to me. When you say 6sigma capable, does it mean 6sigma on each side of the mean (Is it not 3sigma on each side of mean thereby 3s+3s=6sigma) ?
The probability of an actual fault happening out of specification limitsm which are at 6 standard deviations on each sides, is less than 2 out of a billion.
I've watched many "introductions" of "6 sigma" and found no one was as clear as this one. Now I can stop searching for next "Introduction to 6 sigma". Great explanation! Thanks
Well done. This is by far the best explanation of 6sigma on UA-cam. Epic voice :)
The best explanation of the statistical meaning of 6-Sigma. No more struggle to understand the core meaning of this concept.
"zero zero zero zero zero zero zero zero..." :)
good lesson btw
z transforms normal distribution to standard distribution & give you what should be the value for 6 standard deviation.
You clarified fundamental concept of six sigma'
Excellent!
Excellent Amir .. you have the skill of explaining complicated things in a simple way .. thank you
Well done, Amir!!
Nice and great explanation
Thanks My brother Amir
Thank you Amir!
Nice explanation , Amir
Beautifully explained. best video on six sigma
I believe they do it in order to reduce the probability of type II error.
Thank you.
Very well explained. Thanks Amir
Brilliant explanation....
(1.97 x 10 to power -9) x 3451= 6.79 X 10 to the power -6 < 6.8 x10 to the power -6.
the Chance of a limit out of the specification boundaries= 1.97 x 10 to power -9
& the Chance of a limit out of the control limit= 6.8 x 10 to the power -6.
That is the reason you stated in the end
The chance of a limit out of the specification boundaries 3451 times less than the Chance of a limit out of the Control limit.
Thanks
Why organizations like Motorolla and GE settle for 3 Sigma from 6 sigma quality due to the 1.5 shift, and not 4 Sigma from six sigma quality? It still leaves .5 sigma. (with respect the UCL in this case).
You have done an outstanding presentation. Could you please answer this question. Thanks.
Very helpful & nicely simplified! Thanks.
Thank you so much, Amir. I am grateful, I learned so much from you. Best Regards.
Could you put a video on making control chart, normal distributionm, z standard distribution (to determine the variation from mean 4.5 standard deviation allows),histrogram (Objective is higher frequencey around mean), & give example of using Fishbone diagram (Cause & Effect) for distribution centers. Is there a tool to determine what 20 percent of the causes are causihg 80 percent of the disturbance
A simple and Powerful example.,
Good job I like your good and clear explanation thank you Amir
Salam Amir. I like your video. You explained clearly how to use z to show what sigma value should be
Couldyou also explain using Excel 2007 tools to create control chart, normal distribution, z distribution, histogram
Also, is there a tool to use Isakawa daigram (Cause & Effect) to identify cause & request corrective actions.
Is there a tool to use Pareto chart to identify 20 percent of problems/causes responsible for 80 percent of disturbance.to focus on 20 percent when usuing Ishakawa
Superb video.
very good, simple and detailed..
Thanks for share.
Statician is best job ever :)
Excellent !
so simple explanation
just great!! thank you
Thank you for your post.Pls help me to understand a basic concept related to Cp and 6sigma.
Definition 1 for Capable process
Cp=(USL-LSL)/6sigma
This means that if in the tolerance range of the customer(USL-LSL), we can we fit 6sigma, than the process is capable.
Definition 2 for Capable process
If between the closest specification limit (USL or LSL) to the mean there is a 6sigma interval, then the process is capable. But if so, shouldn't Cp=(USL-LSL)/12sigma
Witch definition is wrong, why?
though it's a bit late, I may be able to provide an answer. Cp indicates if your process is "capable". But 6 sigma is for quality control, as you can see the prob of defects in 6 sigma is much lower.
As commonly accepted, Cp or Cpk = 2.00 means your quality is at 6 sigma level.
Thank you very much!
Amir, please make this clear to me. When you say 6sigma capable, does it mean 6sigma on each side of the mean (Is it not 3sigma on each side of mean thereby 3s+3s=6sigma) ?
The probability of an actual fault happening out of specification limitsm which are at 6 standard deviations on each sides, is less than 2 out of a billion.
Thanks, good explanation!!
Thank you..! very easy to understand
What a voice!
okay. easy to understand six sigma. Save my time on reading the textbook for 301 midterm. XD
very concrete ! thank you !
Good Man!
Great explanation, thanks!
thank you
Gr8 video.. your voice should be given to Siri!!