Part I
Measures of effect size are useful because:
They can be used with almost any statistical test
Hypothesis testing only tells us if there is a statistically significant result
They tell us how large a significant effect might be
All of the above
Part II
Broadly speaking, what does a oneway ANOVA tell us?
It gives us a range of values where the true population mean difference might be found
It tells us how strong the differences are between variables
It tells us which individual means are not like the others
It tells us if variability between groups is larger/more important than variability within groups
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