Understanding Response Surface Methodology Using Minitab - Easily Explained!! 🔥🔥

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  • เผยแพร่เมื่อ 7 พ.ย. 2024

ความคิดเห็น • 4

  • @JackSparrow-yt3qw
    @JackSparrow-yt3qw 10 วันที่ผ่านมา

    Thank you for the detailed explanation. One quick question is how to get the colorful graph as shown at the very beginning of your video in minitab? I am only getting green color of these graph (by default) and I cant find an option to get the varying colour like shown at time 00:00 to 00:08 of this video. Also, on the base (grey color area) you also get the markings, how to toggle those to ON? Thanks

  • @praisekoobee9934
    @praisekoobee9934 13 วันที่ผ่านมา

    From the pareto chart and the ANOVA analysis, just the injection pressure has a significant effect on tensile strength. I will recommend you conclude base on P value less the significant level of 0.05. if you adding other factors that doesn't meet this criteria then you are judgement is laced with bias.

  • @ebenezeromariabankwa2894
    @ebenezeromariabankwa2894 8 หลายเดือนก่อน

    please how did you determine the number of runs for your experiment?I dont think you use response surface to determine the number of experiments

    • @LegacyWebHub
      @LegacyWebHub  7 หลายเดือนก่อน

      Yes I didn't.. usually and for most softwares, response surface determines the number of runs depending on your settings which is not ideal because usually in real life, the conduction of experiments are not feasible or accessible. You will most likely be already be presented with the dataset. In my case, the dataset was already conducted for me with limited number of runs. This is the way I found to go about it and easily without having to wrap your head around the compexity of RSM settings. Thanks for commenting!