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picture1_Anova Ppt 68622 | Factorialanova


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File: Anova Ppt 68622 | Factorialanova
questions 1 what are main effects in anova what are interactions in anova how do you know you have an interaction what does it mean for a design to be ...

icon picture PPTX Filetype Power Point PPTX | Posted on 29 Aug 2022 | 3 years ago
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       Questions (1)
        What are main effects in ANOVA? 
        What are interactions in ANOVA?  How do 
          you know you have an interaction? 
        What does it mean for a design to be 
          completely crossed?  Balanced?  
          Orthogonal? 
        Describe each term in a linear model like 
          this one:  
        y    () e
         ijk     j   k      jk  ijk
           Questions (2)
            Correctly interpret ANOVA summary 
               tables.  Identify mistakes in such 
               tables.  What’s the matter with this 
               one? 
           Source SS        Df              MS  F
           A       512      2 (J-1)         128    128
           B       108      1 (K-1)         108    54
           AxB     96       2 (J-1)(K-1)    48     24
           Error   12       5 N-JK          2
     Questions (3)
      Find correct critical values of F from a table 
      or software for a given design. 
      How does post hoc testing for factorial 
      ANOVA differ from post hoc testing in one-
      way ANOVA? 
      Describe a concrete example of a two-factor 
      experiment.  Why is it interesting and/or 
      important to consider both factors in one 
      experiment? 
               2-way ANOVA
               • So far, 1-Way ANOVA, but can have 2 
                  or more IVs.  IVs aka Factors.
               • Example:  Study aids for exam
                   –IV 1:  workbook or not
                   –IV 2:  1 cup of coffee or not
                                       Workbook  (Factor A)
                       Caffeine        No              Yes
                       (Factor B)
                       Yes             Caffeine only   Both
                       No              Neither         Workbook 
                                       (Control)       only
           Main Effects (R & C means)
             N=30 per    Workbook (Factor A)        Row 
             cell                                   Means
             Caffeine    No             Yes
             (Factor B)
             Yes         Caff           Both        82.5
                            =80             =85
                         X              X
                         SD=5           SD=5
             No          Control        Book        77.5
                             =75            =80
                         X              X
                         SD=5           SD=5
             Col Means   77.5           82.5        80
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...Questions what are main effects in anova interactions how do you know have an interaction does it mean for a design to be completely crossed balanced orthogonal describe each term linear model like this one y e ijk j k jk correctly interpret summary tables identify mistakes such s the matter with source ss df ms f b axb error n find correct critical values of from table or software given post hoc testing factorial differ way concrete example two factor experiment why is interesting and important consider both factors so far but can more ivs aka study aids exam iv workbook not cup coffee caffeine no yes only neither control r c means per row cell caff x sd book col...

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