Scenario 1 Dr. Hernandez was interested in whether people’s…
Question Answered step-by-step Scenario 1 Dr. Hernandez was interested in whether people’s… Scenario 1 Dr. Hernandez was interested in whether people’s happiness level varied based on the political party with which they identified. To examine this, he selected a random sample of people from Party A and a random sample of people from Party B. All the participants completed a measure of happiness. (On this measure, higher scores indicate a higher level of happiness.) This study included a total of N = 220 participants (nPartyA = 100; nPartyB = 120). People who belonged to Party had an average happiness level of MPartyA = 9.62 (sPartyA = 1.43). People who belonged to Party B had an average of MPartyB = 14.15 (sPartyB = 1.73). Does happiness level differ based on the political party with which people are affiliated? Use alpha = 0.05; if appropriate, calculate an effect size (use r2) and a confidence interval.Scenario 2Dr. Lufka wanted to assess whether talk therapy was more effective than medication in reducing people’s fear of missing out (FOMO). To examine this, she selected a random sample of participants and randomly assigned some of them to a talk therapy condition and some of them to a medication condition. After six months of treatment, all the participants completed a FOMO measure. (Higher scores indicate a higher degree of FOMO). There was a total of N = 309 participants in the study (nTalk = 158; nMedication = 151). After the six-month treatment period, the participants who received talk therapy had an average FOMO score of MTalk = 68.03 (sTalk = 6.25). The people who received medication had an average FOMO score of MMedication = 74.58 (sMedication = 8.91). Did the people who received talk therapy have a lower level of FOMO than people who received medication? Use alpha = 0.05; if appropriate, calculate an effect size (Cohen’s d) and a confidence interval. Example problem : Dr. Skiba was an administrator for the Vincent Consolidated School System. He wanted to assess whether the system’s rural students had a higher rate of absenteeism than the population of students in the school system. To research this question, he selected a random sample of 80 students living in rural areas. The students in the sample were absent an average of 4.63 days (s = 1.17) during the last school year. Dr. Skiba knew that the average number of absentee days for all the students was 3.79. Do rural students have a higher number of absences than the population of students? Use alpha = .05; if appropriate, calculate a 95% confidence interval and an effect size (use Cohen’s d). 1. Dr. Skiba wanted to assess whether the Vincent Consolidated School Systems’ students who lived in rural areas had a higher rate of absenteeism than the population of students. A randomly selected sample of N = 80 students living in rural areas was absent an average of M = 4.63 days (s = 1.17). Dr. Skiba used a single-sample t-test to compare this sample average with the population average of µ = 3.79 days. 2. The results were statistically significant, t(79) = 6.42, p < 0.05, Cohen's d = 0.72, 95% CI: 0.62- 1.06. 3. Based on the results, we can infer that the students living in rural areas have a higher rate of absenteeism than the population of students. 4. Dr. Skiba may wish to investigate whether providing transportation to rural students in the form of bussing will decrease the number of absences. Math Statistics and Probability PSY 240 Share QuestionEmailCopy link Comments (0)
