1
Q
When to use ANOVA versus a t-test
A
ANOVA is used to compare three or more groups while t-test compares two
2
Q
What are the strengths of using an ANOVA over mutiple t-tests
A
Prevents an inflated Type I error rate that would occur with multiple t-tests
3
Q
What is the logic behind F-ratio
A
Compare a sample’s systematic variance to its random variance
4
Q
What are the differences between within group and between group variability
A
Between-group variability measures the difference between the means of different groups, while within-group variability measures the spread of data points within a single group
