1. Failing to reject a null hypothesis when it is true would be an example of:

   1. A Type I Error

   2. Alpha Level

   3. A Type II Error

   4. Beta Level

2. Question 4

   1.7 Points

   What is the probability of making a Type I error?

   1. A Type I Error

   2. Alpha Level

   3. A Type II Error

   4. Beta Level

3. Question 5

   1.7 Points

   A researcher is interested in studying the effects of different levels of distraction—none, low, and high—on scores on a test of visual memory. Participants are randomly assigned to one of three conditions: no distraction, low distraction, or high distraction. All participants engage in a test of visual memory. What statistic will be used to analyze the data?

   1. t-test

   2. ANOVA (i.e., F-test)

   3. Correlation

   4. Multiple regression

   5. Meta-Analysis

4. Question 6

   1.7 Points

   A researcher is interested in determining factors that predict whether an individual obtains the vaccine for COVID-19. The researcher examines variables such as age, SES, race, political party, and mental illness history to predict whether a person obtains the vaccine. What statistic will be used to analyze the data?

   1. t-test

   2. ANOVA (i.e., F-test)

   3. Correlation

   4. Multiple regression

   5. Meta-Analysis

5. Question 7

   1.6 Points

   A researcher is interested in determining if an educational program regarding theCOVID-19 vaccine decreases vaccine avoidance. 100 participants who did not receive the COVID-19 vaccine were randomly assigned to two groups—educational video (i.e., about the vaccine) vs. placebo (i.e., movie of their choice). There was a follow up with the group two months later to determine if they obtained the vaccine. What statistic will be used to analyze the data?

   1. t-test

   2. ANOVA (i.e., F-test)

   3. Correlation

   4. Multiple regression

   5. Meta-Analysis

6. Question 8

   1.6 Points

   A researcher is interested in determining if COVID-19 is associated with cognitive symptoms. COVID-19 status was associated with neuropsychology measures (i.e., attention, concentration, visual and verbal memory). What statistic will be used to analyze the data?

   1. t-test

   2. ANOVA (i.e., F-test)

   3. Correlation

   4. Multiple regression

   5. Meta-Analysis

7. Question 9

   1.6 Points

   A researcher is interested in examining the most effective treatments for autism spectrum disorder. They complete a systematic review of previous studies on autism treatments and combine the results to determine the treatments that have been found to be most effective and those that are not effective or are harmful. What statistic will be used to analyze the data?

   1. t-test

   2. ANOVA (i.e., F-test)

   3. Correlation

   4. Multiple regression

   5. Meta-Analysis

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