Why should you use an ANOVA, rather than lots of t tests?
Performing lots of t test increases the probability of making a Type 1 error
Performing lots of t tests increases the probability of making a Type 2 error
Performing lots of t tests increases the chance of failing to reject a false null hypothesis
All of the above
The ANOVA statistic is calculated by __________
Multiplying the between groups variance by the within groups variance
Subtracting the between groups variance from the within groups variance
Adding the between groups variance to the within groups variance
Dividing the between groups variance by the within groups variance
You calculate an F ratio and get a value more than 1. How would you interpret this?
There is the less between groups variance than within groups variance
There is the same amount of between groups variance and within groups variance
There is no within groups variance
There is more between groups variance than within groups variance
You have calculated the SSbetween as 10 and the SStotal as 15. What would the SSwithin be?
25
0.067
-5
5
Your study has four conditions with 20 participants in each condition. What would the dfwithin be?
77
76
79
80
Which of the following is the correct way to calculate the MSbetween?
SSbetween ÷ dfbetween
SSbetween ÷ SStotal
SSbetween x dfbetween
SSbetween x dftotal
What does eta squared tell us?
If homogeneity has been established
If there is a significant difference between groups
How much of the variance in the independent variable can be accounted for by the dependent variable
How much of the variance in the dependent variable can be accounted for by the independent variable
If an author reports the results of an ANOVA as F (4, 65) = 9.56, p = .01, what is the between-groups degrees of freedom?
65
9.56
4
