Test your abilities or detection . . . In this experiment, you will take on the role of a police officer and make a quick decision based on the item in a suspect's hand. To begin, press the arrow on the right side of the Shoot, Don't Shoot box to advance through a practice round and the actual experiment. Grading: You will earn one point for participating in this experiment. Watch for the green check mark (✓) in the upper right corner of the Shoot, Don't Shoot box to make sure you've earned this credit. After completing the experiment, answer the questions that follow. Practice Complete Click the arrow on the right to see your practice results. Shoot F J Don't Shoot 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 less 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 this association, people will be less 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? Ratio Binomial Continuous 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 At test for independent samples A t test for matched samples An analysis of variance An analysis of variance for repeated measures In the exercises in this chapter, you will learn more about a common statistical technique called the binomial test, which is used to evaluate and interpret frequency data involving exactly two categories of classification.
Test your abilities or detection . . . In this experiment, you will take on the role of a police officer and make a quick decision based on the item in a suspect's hand. To begin, press the arrow on the right side of the Shoot, Don't Shoot box to advance through a practice round and the actual experiment. Grading: You will earn one point for participating in this experiment. Watch for the green check mark (✓) in the upper right corner of the Shoot, Don't Shoot box to make sure you've earned this credit. After completing the experiment, answer the questions that follow. Practice Complete Click the arrow on the right to see your practice results. Shoot F J Don't Shoot 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 less 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 this association, people will be less 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? Ratio Binomial Continuous 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 At test for independent samples A t test for matched samples An analysis of variance An analysis of variance for repeated measures In the exercises in this chapter, you will learn more about a common statistical technique called the binomial test, which is used to evaluate and interpret frequency data involving exactly two categories of classification.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 14CYU
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