2^k Factorial Designs Experiment - ANOVA Model

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  • Опубліковано 28 бер 2022
  • This lecture explains 2^k Factorial Designs Experiment - ANOVA Model.
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КОМЕНТАРІ • 17

  • @prayaanshmehta3200
    @prayaanshmehta3200 2 місяці тому +1

    3:00 yates notation
    5:40 2^2 ANOVA
    contrast 6:30

  • @komalameen3819
    @komalameen3819 6 місяців тому

    amazing

  • @shyamalab.s9345
    @shyamalab.s9345 Рік тому +2

    Sir please make a video on concept of confounding

  • @jyotibhatia2809
    @jyotibhatia2809 2 роки тому +1

    Sir plz make video about confounding and partial confounding

  • @muhammadsobankhan7348
    @muhammadsobankhan7348 10 місяців тому

    Sir please explain Confounding topic

  • @vaibhavjadhav1457
    @vaibhavjadhav1457 Рік тому +1

    In which case, G^2 / N ( correction factor ) will be zero?

  • @mathewkpv
    @mathewkpv Рік тому

    I think, at 15:10, the first value in column 1 is wrong. I got the value as 111.767 instead of 115.380. With my value of 111.767 the values on the column 2 are obtained as given by you. But if 115.380 is used the Grand total obtained is also wrong.

  • @domenicoscarpino3715
    @domenicoscarpino3715 Рік тому

    Hi sir, does this design works when we have multiple factors and multiple levels? For instance 4 factors and 3 levels each. Thanks in advance

  • @UJJWAL_SHARMA0
    @UJJWAL_SHARMA0 2 роки тому +2

    Sir, can you write some merits of Stratified random sampling?
    I shall be highly obliged to you sir.
    Mujhe university exam me likhna hai mila nahi book m ye...plz

  • @kritikagrover4980
    @kritikagrover4980 2 роки тому

    Sir in. S power n. What s and n denote??

  • @surajsamant7661
    @surajsamant7661 Рік тому

    you are doing great work sir💥💥

    • @DrHarishGarg
      @DrHarishGarg  Рік тому

      My pleasure ... Keep watching and sharing with others too

    • @DrHarishGarg
      @DrHarishGarg  Рік тому

      Many thanks....
      Join my telegram link of Probability and Statistics
      t.me/gargProbability

  • @yohanesb.1728
    @yohanesb.1728 Рік тому

    dear prof,
    I want to test whether public exposure (IV2) to norm violations and relations with perpetrators (IV 1) of norm violations have an effect on observer vicarious embarrassment (VE).
    So there are two factors that cause VE, namely public exposure and relations with perpetrators of norm violations. Public exposure has two levels, namely (a) there is exposure and (b) there is no exposure/quiet. Level relationships: (a) Friends and (b) strangers. I'm planning to use a vignette to get the VE data. My question is:
    1). Should the vignette show two directly interacting variables such as: "My friend (IV2) spoke loudly in the library and was seen by many people (IV1), how embarrassed are you for her actions?" or
    2) vignette only contains information for each level independently. Examples in friendship relationships: My friend (IV1) spoke loudly in the library, how embarrassed are you for what he did?, Someone you don't know (IV1) spoke loudly in the library how embarrassed were you for what he did?
    I think that to get the main effect, the simulation is carried out per level, and then a statistical test of the interaction between IV1 and IV2 is carried out.
    Meanwhile, if the vignette contains two IVs that interact directly with each other, such as (friends x public exposure), (foreigners x public exposure), then this has directly tested the interaction effect so that the main effect for each IV is not obtained. Is my thinking correct?
    The analysis is repeated measures for 4 different conditions.
    thank you for your kindness.

  • @avnimishra6874
    @avnimishra6874 Рік тому

    If sum of square is zero than what to do....plz answer

    • @DrHarishGarg
      @DrHarishGarg  Рік тому

      Sum of sqaure will be zero only for constant series otherwise it will never be zero... Check your calculation.

  • @user-nl1sc2mg3x
    @user-nl1sc2mg3x Рік тому

    hindi me bol na