7:21 .._ 4;: C]. 1. Given the positive results from the independent samples study on ID: 10 video game type and stress, Dr. Wolfe designed a followup study. As a researcher, she wants to control for the individual differences that people may have towards specic types of a video games. She recruits 10 participants who identify as \"gamers\" and has all of them play Animal Crossing: New Horizons for 30 minutes. After playing, they then rate their stress on a ve question Likert scale. Then, everyone plays 30 minutes of Wolfensrein II: The New Colossus. After playing the second game, everyone rates their stress levels again. Dr. Wolfe also counterbalances the study, so some people play one game rst and some play the other rst, to make sure there is not an ordering effect. The participants total stress scores (SS = 32.40) are in the chart below. Post-Wolfenstein lI Post-Animal Crossing Difference s s s_s=o s 2 82=6 7 s 3 4 9 s 4 4 5 4 4 3 2 0 s 6 Dr. Wolfe theorizes that even in this design there will be a statistically signicant difference between the stress soores after playing the games. 3. Why is this a paired samples ttest and not an independent samples ttest'? b. Is this hypothesis 3 one or two-tailed test? c. What is the for this sample? d. Calculate the t-statistic (rounded to the nearest 2 decimal places) for this test. The PowerPoint in the module will help you walk through the necessary calculations: kennesaw.view.usg.edu Private 7:21 e. What is the comparison t-critical value for this study? Use the t-chart to find it. f. Is Dr. Wolfe's hypothesis supported? Is there a difference in the stress scores - yes or no? g. Which game had lower stress scores - Animal Crossing or Wolfenstein II? 2. SPSS Interpretation: Use the study blurb below and the image of the SPSS output to answer the following questions: You are a researcher interested in the effects of group work on statistics anxiety. You recruit a sample of college students to your lab. You have everyone in the sample watch a lesson on statistics alone and then complete a statistics worksheet. Afterwards, they rate their anxiety about statistics. Then, you group the same participants in small teams and have them complete a team-based assignment on statistics. After working with others, they rate their anxiety about statistics again. The design is counterbalanced so some people work with teams first, to make sure there is not an ordering effect influencing the second measurement point. You hypothesize that there will be a difference in statistics anxiety between the two measurement points (after-alone and after-team). You plug your data into SPSS and run the paired samples t-test. Here is the output from SPSS: Paired Samples Statistics Sid. Error Mean Sid. Deviation Mean Alone 8.08 3.029 .874 Others 2443 Paired Samples Correlations N Correlation Sig. Pair 1 Alone & Others 12 .858 .000 Paired Samples Test Paired Differences 95% Confidence Interval of the Std. Error Difference Mean Sid. Deviation Mean Lower Upper Sig. (2-tailed) Pair 1 Alone - Others 1.917 1.564 452 923 2.911 4 244 11 .001 . How many participants were there in the whole study? . What was mean anxiety score for learning alone? kennesaw.view.usg.edu - Private7:21 2. SPSS Interpretation: Use the study blurb below and the image of the SPSS output to answer the following questions: You are a researcher interested in the effects of group work on statistics anxiety. You recruit a sample of college students to your lab. You have everyone in the sample watch a lesson on statistics alone and then complete a statistics worksheet. Afterwards, they rate their anxiety about statistics. Then, you group the same participants in small teams and have them complete a team-based assignment on statistics. After working with others, they rate their anxiety about statistics again. The design is counterbalanced so some people work with teams first, to make sure there is not an ordering effect influencing the second measurement point. You hypothesize that there will be a difference in statistics anxiety between the two measurement points (after-alone and after-team). You plug your data into SPSS and run the paired samples t-test. Here is the output from SPSS: Paired Samples Statistics Sid. Error Mean Sid. Deviation Mean Pair Alone 8.08 12 3.029 .874 Others 2.443 .705 Paired Samples Correlations N Correlation Sig Pair 1 Alone & Others 858 .000 Paired Samples Test Paired Differences 95% Confidence Interval of the Std. Error Difference Mean Std. Deviation Mean Lower Upper Sig. (2-tailed) Pair 1 Alone . Others 1.917 1.564 452 2.911 4 244 11 .001 How many participants were there in the whole study? . What was mean anxiety score for learning alone? . What was the standard deviation for the anxiety scores for learning alone? . What was mean anxiety score for learning with others? . What was the standard deviation for the anxiety scores for learning with others? . What is the correct t-statistic for this output? . What are the correct degrees of freedom for this output? . Yes or No, is there a statistically significant difference between the two conditions? . Which group had less anxiety? kennesaw.view.usg.edu - Private