ANOVA using R programming
ANOVA or Annalysis of Varience can be easily done using R programming. If you're learning statistics or data analysis using R, the you'll need to know how to compare the means of three or more variables. ANOVA lets you do that. So, for aspiring data scientists or anyone learning statistical analysis for research, this video is for you. I also include some instructoin as to how to use the TukeyHSE function to establish which variables are driving a difference identified. Remember, your null hypothesis is that all the means are the same. If the p value is less than the Alpha, then you can reject the null hyopthesis and accept the alternative that at least one of them is different. TukeyHSE allows you to identify the variable that is driving that difference. ANOVA is an important component of statistical modeling for anyone interesting in quantitative analysis using R programming.
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