ANOVA Blocking

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  • เผยแพร่เมื่อ 8 ก.ค. 2024
  • A video presentation on 2-factor ANOVA with blocking design - concepts and manual calculation.

ความคิดเห็น • 13

  • @hubert1990s
    @hubert1990s 5 ปีที่แล้ว +2

    thanks, good example for getting anova blocking understood

  • @ghadialhajj
    @ghadialhajj 4 ปีที่แล้ว +1

    Great video, thank you!

  • @thelarueshow5774
    @thelarueshow5774 2 ปีที่แล้ว

    Solid video! Very helpful!

  • @vulehoangvn
    @vulehoangvn 3 ปีที่แล้ว +1

    Thanks. This video helps a lot.

  • @user-uy7mt7vr6f
    @user-uy7mt7vr6f 3 ปีที่แล้ว +1

    Your video saved me...

  • @raullopezvalle3083
    @raullopezvalle3083 6 ปีที่แล้ว +1

    Very nice video!

  • @jacobjohnson6127
    @jacobjohnson6127 2 ปีที่แล้ว

    Thank you so much!

  • @blueystonedhouse
    @blueystonedhouse 4 ปีที่แล้ว +1

    When I use ANOVA on my data taking into account my blocking structure, my P values are higher than if I ignore the blocks and don't include them? Why is that? Would it be ok to just leave out the blocks from the analysis? Thank you!!

    • @PatObi
      @PatObi  4 ปีที่แล้ว +1

      If your F stat for Blocking is significant (p value < 5%), you should block. It tells you that blocking is necessary for your study.

  • @esther4670
    @esther4670 3 ปีที่แล้ว

    I have really big problem, 😭, how to calculate the sstr, ssbl and sst, i confuse right now with the no blocking one

    • @PatObi
      @PatObi  3 ปีที่แล้ว

      Please watch the video again. It shows the calculations very clearly.

  • @juanrenteria2015
    @juanrenteria2015 4 ปีที่แล้ว

    When your critical value is less than your F statistics you reject, therefore you would block the factor?

    • @PatObi
      @PatObi  4 ปีที่แล้ว

      When calculated F > critical F, it means that blocking is necessary. Therfore reject the null hypothesis and accept the alternative hypothesis that bocking is necessary.