Question: Comparing two means can be tricky in statistics since usually one of the groups is manipulated in some type of way (i.e., given a placebo).

Comparing two means can be tricky in statistics since usually one of the groups is manipulated in some type of way (i.e., given a placebo). How do statisticians overcome this obstacle to generate good data?

Explain the difference between ANOVA and ANCOVA. Both analysis tests are important but there are distinct differences. When is one used instead of the other?

What are post hoc tests and when should they be used? Why are they important?

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