If two independent samples are obtained, then we can ask
whether they may have been drawn from two different underlying
distributions.
Download and read the content from file "TroutDiet.txt" for 2000 individual trout ready to go to market. One half was fed a special diet [Diet=1], the other half received the usual grub [Diet=0]. Your goal is to test whether the new diet has been effective in promoting growth. You might consider making sure that 'Diet' is treated as a factor, rather than a number.
ANOVA is mathematically identical to a t-Test. Here we run the analysis as an ANOVA
To run a posthoc analysis of the results Test for significant Heteroscedasticity/Normality Get a plot of the results
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