Exam 8: How Can I Tell If Scores Differ Between Two Conditions Repeated T Test

You calculate a repeated t test, and the experimental variance is calculated as 4, and the random variance is calculated as 12. What is the calculated t statistic, and is the result likely to be significant?

You conduct an experiment with a repeated design that has 25 participants. How many degrees of freedom would you have?

You calculate a t value as 3.75. You have 9 degrees of freedom and a two-tailed hypothesis. What is the smallest alpha value at which the analysis is significant?

What is wrong with the reporting of this t statistic: t 12 = 3.4, p < .050

You conduct and experiment with a repeated design that has 49 participants. How many degrees of freedom would you have?

You run an analysis with 8 degrees of freedom, a one-tailed hypothesis and an alpha level of .050. What would be the critical value for this analysis?

What is the mean for the "never before seen face" condition?

You calculate a repeated t test, and the experimental variance is calculated as 9, and the random variance is calculated as 3. What is the calculated t statistic, and is the result likely to be significant?

How is the top part of the repeated t equation calculated?

What is the sum of the difference scores (Σd)?

You calculate a repeated t statistic and get a result of 1.0, which means...

When you have entered all of the values into the equation, what is the multiplication on the lower part of the equation?

What is the calculated t statistic?

What would the critical value be for a two tailed hypothesis with an alpha level of .010?

You calculate Cohen's d effect size and get a value of 0.51. How would you classify this effect size?