Unlike t tests, an ANOVA uses both differences between group means and differences within groups to determine whether or not the differences are significant.

The "Smiles and Leniency" study uses a between-subjects design. The four types of smiles (false, felt, miserable, and neutral) are the four levels of one factor.

If an experiment seeks to investigate the acquisition of skill over multiple sessions of practice, which of the following best describes the comparison of the subjects?

These values are from three independent groups. What is the p value in a one-way ANOVA? (If you are using a program, make sure to reformat the data as described.)

These values are from three independent groups. What is the F in a one-way ANOVA? (If you are using a program, make sure to reformat the data as described.)

The table shows the means and variances from 5 experimental conditions. Compute the variance of the means.

Compute the MSB based on the variance of the means. (These are the same values as previously shown.) The sample size for each mean is 10.

Find the MSE by computing the mean of the variances.

Which best describes the assumption of homogeneity of variance?

When performing a one-factor ANOVA (between-subjects), it is important that each subject only provide a single value. If a subject were to provide more than one value, the independence of each value would be lost and the test provided by an ANOVA would not be valid.

If the MSE and MSB are approximately the same, it is highly likely that population means are different.

You want to make a strong case that the different groups you have tested come from populations with different means. Your case is strongest when:

Why can't an F ratio be below 0?

Consider an experiment in which there are 7 groups and within each group there are 15 participants. What is the degrees of freedom for the numerator (between)?

Consider an experiment in which there are 7 groups and within each group there are 15 participants. What is the degrees of freedom for the denominator (within)?

The F distribution has a:

An independent-groups t test with 12 degrees of freedom was conducted and the value of t was 2.5. What would the F be in a one-factor ANOVA?

If the sum of squares total were 100 and the sum of squares condition were 80, what would the sum of squares error be?

If the sum of squares total were 100 and the sum of squares condition were 80 in an experiment with 3 groups and 8 subjects per group, what would the F ratio be?

If a t test of the difference between means of two independent groups found a t of 2.5, what would be the value of F in a one-way ANOVA?