I predict there will be no significant difference in mean speeds between older and younger drivers. This is an example of a:

• null statistical hypothesis

• null theoretical hypothesis

• alternative statistical hypothesis

• alternative theoretical hypothesis

What can we say about the two population distributions shown in this image?

• They probably show support for the alternative hypothesis

• They probably show support for the null hypothesis

• They have similar means and variances

• We cannot tell from this image

Which of the following statements is not true about ANOVAs?

• The assumption of sphericity must be met for all types of ANOVA.

• Smaller sample sizes will result in more uncertainty.

• Between-groups deviation reflects treatment effects and experimental error.

• Knowledge of the F-ratio and degrees of freedom are required to test significance.

In a one-way ANOVA where our independent variable has four levels, the between-group degrees of freedom would be:

• 3

• 1

• 2

• 4

Which of the following is true about the Bonferroni correction?

• Its use results in an increased risk of Type II error

• It is calculated by dividing the desired alpha value by the number of treatment levels.

• It uses the studentised range distribution Q to test for significance levels.

• It is the least conservative type of statistical correction.

Partial eta squared is used to estimate effect size in an ______ when there is______:

• ANOVA; more than one independent variable

• ANOVA; one independent variable

• t-test; more than one independent variable

• t-test: one independent variable

In a two-way factorial ANOVA, the degrees of freedom for the interaction term is calculated as:

• (a-1)(b-1)

• ab (s-1)

• a-1

• b-1

The test output in this picture suggests that:

• The assumption of sphericity has been met for a within-subjects variable.

• The assumption of sphericity has been violated for a within-subjects variable.

• The assumption of sphericity has been met for a between-subjects variable.

• The assumption of sphericity has been violated for a between-subjects variable.

Looking at the table in this image, how would we write the results of the interaction effects?

• F(1,68)= 66.3, p<.001

• F(1,68)= 98.69, p<.001

• F(1, 68)= 3869.26, p<.001

• F(1, 68)= 5760.03, p<.001

Based on the output shown in this image, what would the F-ratio be for our between-subjects effect of 'Game'?

• 39.98

• 4523.23

• 0.59

• 66.52