What are the advantages of parametric methods in statistics?
Parametric methods assume a specific distribution for the data, which can lead to more powerful statistical tests.
Can you give me some examples of parametric methods?
Sure! Common examples include t-tests, ANOVA, and linear regression.
Why are these methods considered more powerful?
They are more powerful because they make stronger assumptions about the data, allowing for more precise estimates and conclusions.
Are there any limitations to using parametric methods?
Yes, they can be less reliable if the assumptions about the data distribution are violated.
How do I know if I can use a parametric method?
You should check if your data meets the assumptions, such as normality and homogeneity of variance.
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