The Implicit Association Test is a measure used in social psychology to detect the strength of a person’s automatic association between two concepts. These types of tests have incited much controversy and are not intended to be used to draw conclusions about oneself or others. Rather, the tests are designed to allow people to recognize the possible impact stereotypes can have on one's automatic thoughts or feelings. Suppose you suspect that because of stereotypes, people associate African Americans with handguns more than the rest of the population. Your hypothesis is that because of this association, people will be accurate about identifying when an African American does not have a gun.
The typical accuracy for recognizing that someone is unarmed is 96%. The accuracy for African Americans is 89%. How do you figure out whether this is significant?
Start by figuring out what kind of data you are dealing with. The data for an unarmed African American can take only one of two values: “shoot” or “don’t shoot.” What is this type of data called?

Continuous
Ratio
Binomial
How would you know that the proportion of African American men misidentified as having a gun was different than expected by chance? What test could you use?

None of the above
A t test for independent samples
A t test for matched samples
An analysis of variance
An analysis of variance for repeated measures