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  • https://stats.libretexts.org/Workbench/Learning_Statistics_with_SPSS_-_A_Tutorial_for_Psychology_Students_and_Other_Beginners/11%3A_Comparing_Several_Means_(One-way_ANOVA)/11.09%3A_Checking_the_Normality_Assumption
    The only thing we really need to know how to do is pull out the residuals (i.e., the ϵ ik values) so that we can draw our QQ plot and run our Shapiro-Wilk test. If we pass our my.anova to this functio...The only thing we really need to know how to do is pull out the residuals (i.e., the ϵ ik values) so that we can draw our QQ plot and run our Shapiro-Wilk test. If we pass our my.anova to this function, it will return the residuals. In fact, given that I’m on the verge of putting myself to sleep just typing this, it might be a good idea to skip that step. 212 This is supported by the results of our Shapiro-Wilk test (W=.96, p=.61) which finds no indication that normality is violated.
  • https://stats.libretexts.org/Courses/Cerritos_College/Introduction_to_Statistics_with_R/12%3A_Comparing_Several_Means_(One-way_ANOVA)/12.10%3A_Checking_the_Normality_Assumption
    The only thing we really need to know how to do is pull out the residuals (i.e., the ϵ ik values) so that we can draw our QQ plot and run our Shapiro-Wilk test. If we pass our my.anova to this functio...The only thing we really need to know how to do is pull out the residuals (i.e., the ϵ ik values) so that we can draw our QQ plot and run our Shapiro-Wilk test. If we pass our my.anova to this function, it will return the residuals. In fact, given that I’m on the verge of putting myself to sleep just typing this, it might be a good idea to skip that step. 212 This is supported by the results of our Shapiro-Wilk test (W=.96, p=.61) which finds no indication that normality is violated.

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