Analyze Screening Design: Design of Experiment (DOE) With Example (Definitive & Plackett-Burman)

[@fatmaelsayed8933]

thanks a million for such an informative video

[@learnandapply]

You're welcome! 🤗 Thank you for your valuable comments and appreciation! 🙏☺️

[@forvidsamol3758]

I am working towards screeing more than 50 factors, to do the screening, your videos are coming in very useful. also as a request, your voice was more than good ( I saw DOE videos as well), This robotic voice , sound very dull. Subscribed

[@learnandapply]

Thank you so much for your valuable comments and appreciation! 😊🙏 Noted and thank you for your great support.

[@forvidsamol3758]

@@learnandapply I have coded 7 factors, and 1 response, now how can I run Plakett-berman on it? intead of analyzing the entire design? it has 73 runs

[@learnandapply]

How you got 73 runs? You can perform the screening experiment, 1st level, with only 13 runs including the center point. (For 7 factors Plackett-Burman design)

[@adriangarcia9085]

Thank you, very great video. Just one question. How is DSD different from principal component analysis? Thanks.

[@learnandapply]

In Principle Component Analysis, the data collected is not following the systematic approach, like levels of the Factors. It's a as it is data. But for DSD, it's a systematic approach used to identify significant factors and optimize their levels for best results. For more detailed learning of DOE, you can visit successfulcareerhub.com/p/design-of-experiments

[@DrKay-kt8oz]

Is there any way to get a copy of the data set you are using ? Would like to replicate the examples. Thanks

[@learnandapply]

You will get it at vijaysabale.co/doecourse

[@eliza1113]

how to get the column power output?

[@learnandapply]

It's the results or output that you get for the settings of the factors. You need to collect that data. If you are discussing about the supporting data, and notes, then please visit successfulcareerhub.com/p/design-of-experiments

[@salsal7309]

thanks

[@learnandapply]

Your welcome