Quiz 2 Review questions

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Psychology

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Feb 20, 2024

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1. You are researching a new energy drink, so you decide to gather 50 participants and assess their energy level both before and after they consume the new energy drink. You ask them to report their energy level on a 1-10 scale just before consuming the drink and then 30 minutes after consuming it. What test would be used to analyze this data? a. Independent samples t-test b. Between-subjects ANOVA c. Paired samples t-test CORRECT d. Repeated Measures ANOVA 2. You are interested in researching how a student’s ability to answer math problems differs in a low-stress and high-stress environment. You have 9 students take a math test in a noisy, stressful environment on Friday afternoon. The following Friday afternoon, you have the same 9 students take the same math test in a quiet low-stress environment. You have found that students perform significantly better in the low-stress environment than a high-stress environment, but now you want to know how big that difference really is. What test would you use? a. Independent samples t-test b. Effect size calculation CORRECT c. Paired samples t-test d. Confidence interval 3. A researcher wants to know what helps students more on an exam- classical or heavy metal music. For Section 1, all students listen to classical music while taking the exam. For Section 2, all students listen to heavy metal while taking the exam. The researcher then compares Section 1 scores to Section 2 scores. What type of test should the researcher use? a. Independent samples t-test CORRECT two separate section students b. Between-subjects ANOVA c. Paired samples t-test WRONG d. Repeated Measures ANOVA 4. Your 95% CI is [-3.40, 2.89]. What does this tell you about the null hypothesis? a. You would accept the null CORRECT if you have a negative number and positive number than you accept the null because you pass through 0 b. You would reject the null c. There is not enough information to determine if you should accept or reject the null d. The CI is unrelated to the null hypothesis 5. Which of the following is true of a wide confidence interval? a. It indicates a precise estimate of the difference between the means in the population b. It suggests that the size of the difference between the means in the population is large c. It indicates that there is no difference between the means in the population

d. It indicates that we unsure about the size of the difference between the means in the population CORRECT 6. What conclusion is correct based on the following t-statistic t (78) = 7.90, p = .02, d = 0.50 a. You should accept the null hypothesis b. You should reject the null hypothesis CORRECT less than p is less than .5 c. The effect size would be considered large d. There is no significant difference between your sets of scores 7. Which of the following accurately describes an independent samples t-test? a. It is used for the comparison of pre and post tests b. It used to compare performance between two groups CORRECT c. It is used to track participant changes over time d. It is used to compare our group of participants against a known average 8. My grandfather signed-up for facebook and immediately joined a bunch of flat-earther facebook groups. Although he already believed that the earth was flat, he now thinks that the majority of other people believe this too because that is the only information he is exposed to. Unfortunately, my grandfather is falling prey to… a. Illusory correlations b. Hypothesis testing c. Confirmation bias CORRECT d. Random sampling 9. Many health professionals mistakenly believe that a hospital is busier on a full moon because it is easier for them to remember instances when it was both a full moon and the hospital was busy. However, they often forget about the instances where the hospital was busy when there was not a full moon. Mistakenly believing there is a relationship between the moon and hospital business is an example of: a. Biased population b. The confirmation bias c. An illusory correlation CORRECT because of “relationship” d. Over-generalization 10. Inferential statistics, such as t-tests, compute a ratio that could be described fully as any of the following ratios EXCEPT : a. systematic variation / unsystematic variation b. IV / DV not mathematically possible c. Effect / error d. Effect of the IV on the DV / Random variability WRONG

11. Dr. McResearcher is looking at examining whether there is a difference in the number of hours of weekly exercise between people with high levels of happiness and people with low levels of happiness. Which of the following conclusions would be an example of a Type I error: a. Saying there is not a significant difference in hours of exercise between people with high and low levels of happiness when there is a real difference between these groups in the population WRONG b. Saying there is not a significant difference in hours of exercise between people with high and low levels of happiness when when there is also no difference in the population c. Saying there is a significant difference in hours of exercise between people with high and low levels of happiness when there is also a real difference in the population d. Saying there is a significant difference in hours of exercise between people with high and low levels of happiness when there is a not a real difference between these groups in the population. TRUE when we think there’s a difference when there’s not 12. Based on the following data: a. are you going to accept or reject the null hypothesis? Reject CORRECT b. Would you report the Student t-test or the Welch’s t-test? Student IDK c. Report your final t-statistic (that you would include at the end of an APA-style sentence, you do not need to write the entire sentence) t(60) = 2.755, p = .008 CORRECT, if you have CI then include as well 13. A teacher is interested in tracking the level of engagement of her 2 nd grade students during story time. She rates the engagement level of each student on a scale of 0 (not at all engaged) to 6 (completely engaged) and wants to compare her male students to her female students. Write a complete APA-style sentence describing the results According to an independent sample t-test, female students engagement level (M = 5.30, SD = 0.39) were significantly lower than male student engagement (M = 5.56, SD = 0.29), t(38) = -2.37, p =.023, d = -.75, 95% CI [ -0.48, -0.04]. CORRECT

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