Learning Objectives

1. State what the Mean Square Error estimates when the null hypothesis is true and when the null hypothesis is false
2. State what the Mean Square Between estimates when the null hypothesis is true and when the null hypothesis is false
3. State the assumptions of a one-way ANOVA
4. Compute MSB
5. Compute MSE
6. Compute F and the two degrees of freedom parameters
7. Describe the shape of the F distribution
8. Explain why ANOVA is best thought of as a two-tailed test even though literally only one tail of the distribution is used.
9. State the relationship between the t and F distributions
10. Partition the sums of squares into conditions and error
11. Format data to be used with a computer statistics program