Two-way anova and a three-way anova


Q1. How many independent variables are in a 4 x 6 factorial design? How many conditions (cells) are in this design?

Q2. What is the difference between a cell (condition) mean and the means used to interpret a main effect?

Q3. What is the deference between a complete factorial design and an incomplete factorial design?

Q4. Explain the difference between a two-way ANOVA and a three-way ANOVA.

Q5. Explain the difference between multiple independent variables and multiple levels of independent variables. Which is better?

Q6. What is blocking and how does it reduce "noise"? What is a disadvantage of blocking?

Q7. What is a factor? How can the use of factors benefit a design?

Q8. Explain main effects and interaction effects.

Q9. How does a covariate reduce noise?

Q10. Describe and explain three trade-offs present in experiments.

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Basic Statistics: Two-way anova and a three-way anova
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