Why should you use an ANOVA rather than a lot of T-tests?
Respuesta
Performing lots of t-tests 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
Pregunta 2
Pregunta
The ANOVA statistic is calculated by ____________
Respuesta
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
Multiplying the between groups variance by the within groups variance
Pregunta 3
Pregunta
You calculate an F ratio and get a value more than 1. How would you interpret this?
Respuesta
There is more between groups variance than within groups variance
There is the same amount of between groups variance as within groups variance
There is less between groups variance than within groups variance
There is no within groups variance
Pregunta 4
Pregunta
You have calculated the SSbetween as 10 and the SStotal as 15, what would the SSwithin be?
Respuesta
5
0.67
-5
25
Pregunta 5
Pregunta
Your study has four conditions with 20 participants in each condition. What would the df-within be?
Respuesta
79
76
77
80
Pregunta 6
Pregunta
Which of the following is the correct way to calculate the MSbetween
Respuesta
SSbetween / df-between
SSbetween / SStotal
SSbetween * df-between
SSbetween * df-total
Pregunta 7
Pregunta
A researcher wants to see if caffeine improves mathematics ability. She randomly assigned participants to three treatment groups: no caffeine (control), 40mg of coffee, and 80mg of coffee. After the treatment, all participants took a maths test. A one-way ANOVA was performed on the data.
The output is shown below, but the F-value is missing. Using the other information in the table what should the F-value be?