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Yes you can absolutely make highlights and notes in your resource!

Great question! That’s a completely different mathematical operation. Google attribute agreement analysis to learn more!

Happy to help!

You're welcome 😊

You're very welcome

Thanks!

You're welcome!

hahahaha thanks brother! I appreciate that!

@@greenbeltacademy just one thing.. bro.. Octane examples.. Globally.. people are wondering... Also.. what if the deduction is more than p value or less than p value?. You did demonstrate with the alpha rule..

@@MVTS4U-l9h Good point about the p-value. The phrase I always use with the p-value is: "If the p-value is low, the null hypothesis must go". You can reject the null hypothesis if your p-value is small (less than your alpha risk).

@@greenbeltacademy bro . Can u explain Monte Carlo analysis in your god mode.. Am stuck .. need to present next week for an electrical manufacturing company. With apt examples please?. Not asking fo more.

@@greenbeltacademy Also with your simplified crisp explanation.. the Pugh analysis too.. Jay

Good question! That depends on how you collect the data, but try to convert those equations into excel and it’ll help you understand the equations.

Wow, thanks!!! I appreciate that!

Hahahahaha thank you so much!!!

Hopefully Deming would be proud, hahaha

Hahahaha hopefully Deming would be proud!

Great question!! Okay, so the pure definition of repeatability is the variation that is unique to the measurement equipment, and that should also capture any variation in the equipment fixture. So when you run your GR&R you can randomize the fixture that you're using when you take your replicate measurements, but definitely know that this will increase your repeatability. If your repeatability ends up being unacceptable, then you can look at your fixture specifically as a source of variation that could be improved to reduce your repeatability.

@@CQEAcademy Thanks for the taking the time to reply

Check this video out: th-cam.com/video/Aj7lJLR-7b4/w-d-xo.html

You're absolutely welcome!

Thank you so much! I"m glad you enjoyed it!

Wow, thanks so much!

You're absolutely welcome! Honestly, just some a subscription and a like on the videos are support enough

Hey there, that's a tough topic. I don't think I have any good resources to share on that topic

​@@greenbeltacademy Ha, thank you very much and I am proud that I ask a tough question.

Thank you!

Great question - because we collect data all across the business. So it depends on how measurements / data is collected. Do you use a specific measurement instrument or equipment in IT or the financial industry?

You are welcome

Great question. In a perfect world, yes you would want to measure 5 parts that have the same part number. This ensures that they parts are all made using the same process, and fixtured/inspected the same way. If you used different part numbers, and those designs were slightly different, or their production processes were slightly different, or their measurement methods were slightly different, all of that variation would get introduced into your gauge R&R and skew your results in a negative direction.

@@greenbeltacademy Thank you very much.

Thanks for the feedback!

Great feedback, and you're right, if I said that the null hypothesis is false, I misspoke, I should have said that we can reject the null hypothesis!

You are not alone!! Same thing with me

Great question! The method I've described here only applies to non-destructive testing. Destructive testing requires a completely different approach.

Great question!! Okay, so the ASQ certification can (and should) also be described as a LSS certification. If you look at the ASQ body of knowledge (BoK) it includes many (if not all) of the critical lean concepts that continuous improvement professionals need to know. Also, if you compare the IASSC body of knowledge (BoK) it's nearly identical to the ASQ BoK and they contain the same lean concepts within them. So, they can both be described as a LSS certification. Hopefully that makes sense!

Thank you!

You're welcome, and thanks for the great feedback

You're absolutely welcome!

Great question, and I appreciate your thoughtfulness on the subject. To be honest, with someone like yourself who has 8 years of experience, I would absolutely recommend the CQE exam. Yes, it's more difficult, but going through that journey will have a much larger impact on your career.

You're absolutely welcome!

You're welcome!

The grand mean is simply the average of all of the measured values within the experiment.

Thanks for the comment!

Great question Brad! So the process is very different when you're dealing with attribute data. Google "Attribute Agreement Analysis" to understand how to quantify the variation in a measurement system when you're dealing with attribute data.

Good, I'm glad you enjoyed it!

Head over to the website - greenbeltacademy.com to find them

hahahaha thanks!!! I appreciate that! I'm happy to help!

No, not at all! Statistics is the primary (and highest) math concept on the green belt exam.

Glad it was helpful!

You're absolutely welcome!

You're welcome!

You're absolutely welcome!

You're welcome!

I think you're got a great plan!

You're absolutely welcome!

Thanks for the positive comment and you’re welcome!

That's odd, let me go in and double check that - you should have Rev B. If you're on my email list, hit reply to one of those emails and I'll send over the latest revision.

@@CQEAcademy Never mind. I passed the ASQ exam today. Thanks for the cheat sheet. Even this version did the job. Felt more confident with it.

@@AlinaRudolph Congratulations on passing the exam!!!

You csn bting thr sheet into the exam?​@@AlinaRudolph

Thanks!

Wow, thank you so much!