ons7. Measures of effect size for the repeated-measures tess TipsPrevious studies have shown that playing video games can increase visual perception abilities on tasks presented in the gaming zone of the screen(within 5 degrees of the center). A graduate student is interested in whether playing video games increases peripheral visual perception abilities oress Tipsdecreases attention to peripheral regions because of focus on the gaming zone. For his study, he selects a random sample of 64 adults. The subjectscomplete a difficult spatial perception task to determine baseline levels of their abilities. After playing an action video game (a first-person combatR YOUsimulation) for 1 hour a day over 10 days, they complete the difficult perception task for a second time.Before playing the action video game, the mean score in their accuracy on the spatial task was 0.42. After playing the action video game, the meanScore was 0.8 lower.The graduate student has no presupposed assumptions about whether playing video games increases peripheral visual perception abilities orProcess fordecreases attention to peripheral regions because of focus on the gaming zone, so he formulates the null and alternative hypotheses as:Ho : Pp = 0Hị : Pp * 0Assume that the data satisfy all of the required assumptions for a repeated-measures t test. The graduate student calculates the following statisticsckfor his hypothesis test:Mean difference (Mp)-0.8Estimated population standard deviation of the differences (s)2.4Estimated standard error of the mean differences (SMD)0.3000Degrees of freedom (df)63The t statistic-2.67The critical values of t when a = .05+1.998Notice that since the t statistic (-2.67) is in the critical region (t 1.998), the hypothesis test is significant when a = .05.A 95% confidence interval for the mean difference isUse Cohen's d to calculate the effect size. The absolute value of the estimated d isUsing Cohen's criteria, this is av effect size.Use r2 to calculate the effect size. The r2 isThis value of r2 means that, on average,% of the variability in the peripheral visualperception is explained by whether it was measured before or after playing the action video game. (Round to the nearest percent.) ent* MindTap - Cengage Learninga ng.cengage.com/static/nb/ui/evo/index.html?deploymentid=589573224712048206244311922&elSBN=9780357035108&id=1250155165&snapshotld=2521793&Ho : Pp = 0H : Pp # 0Assume that the data satisfy all of the required assumptions for a repeated-measures t test. The graduate student calculates the following statisticsfor his hypothesis test:Mean difference (Mp)-0.8Estimated population standard deviation of the differences (s)2.4Estimated standard error of the mean differences (SMD)0.3000Degrees of freedom (df)63The t statistic-2.67The critical values of t when a = .05+1.998Notice that since the t statistic (-2.67) is in the critical region (t 1.998), the hypothesis test is significant when a = .05.A 95% confidence interval for the mean difference isUse Cohen's d to calculate the effect size. The absolute value of the estimated d isUsing Cohen's criteria, this is aeffect size.Use r2 to calculate the effect size. The r2 isThis value of r2 means that, on average,% of the variability in the peripheral visualperception is explained by whether it was measured before or after playing the action video game. (Round to the nearest percent.)

Question

ons7. Measures of effect size for the repeated-measures tess TipsPrevious studies have shown that playing video games can increase visual perception abilities on tasks presented in the gaming zone of the screen(within 5 degrees of the center). A graduate student is interested in whether playing video games increases peripheral visual perception abilities oress Tipsdecreases attention to peripheral regions because of focus on the gaming zone. For his study, he selects a random sample of 64 adults. The subjectscomplete a difficult spatial perception task to determine baseline levels of their abilities. After playing an action video game (a first-person combatR YOUsimulation) for 1 hour a day over 10 days, they complete the difficult perception task for a second time.Before playing the action video game, the mean score in their accuracy on the spatial task was 0.42. After playing the action video game, the meanScore was 0.8 lower.The graduate student has no presupposed assumptions about whether playing video games increases peripheral visual perception abilities orProcess fordecreases attention to peripheral regions because of focus on the gaming zone, so he formulates the null and alternative hypotheses as:Ho : Pp = 0Hị : Pp * 0Assume that the data satisfy all of the required assumptions for a repeated-measures t test. The graduate student calculates the following statisticsckfor his hypothesis test:Mean difference (Mp)-0.8Estimated population standard deviation of the differences (s)2.4Estimated standard error of the mean differences (SMD)0.3000Degrees of freedom (df)63The t statistic-2.67The critical values of t when a = .05+1.998Notice that since the t statistic (-2.67) is in the critical region (t < -1.998 or t > 1.998), the hypothesis test is significant when a = .05.A 95% confidence interval for the mean difference isUse Cohen's d to calculate the effect size. The absolute value of the estimated d isUsing Cohen's criteria, this is av effect size.Use r2 to calculate the effect size. The r2 isThis value of r2 means that, on average,% of the variability in the peripheral visualperception is explained by whether it was measured before or after playing the action video game. (Round to the nearest percent.) ent* MindTap - Cengage Learninga ng.cengage.com/static/nb/ui/evo/index.html?deploymentid=589573224712048206244311922&elSBN=9780357035108&id=1250155165&snapshotld=2521793&Ho : Pp = 0H : Pp # 0Assume that the data satisfy all of the required assumptions for a repeated-measures t test. The graduate student calculates the following statisticsfor his hypothesis test:Mean difference (Mp)-0.8Estimated population standard deviation of the differences (s)2.4Estimated standard error of the mean differences (SMD)0.3000Degrees of freedom (df)63The t statistic-2.67The critical values of t when a = .05+1.998Notice that since the t statistic (-2.67) is in the critical region (t < -1.998 or t > 1.998), the hypothesis test is significant when a = .05.A 95% confidence interval for the mean difference isUse Cohen's d to calculate the effect size. The absolute value of the estimated d isUsing Cohen's criteria, this is aeffect size.Use r2 to calculate the effect size. The r2 isThis value of r2 means that, on average,% of the variability in the peripheral visualperception is explained by whether it was measured before or after playing the action video game. (Round to the nearest percent.)

Accepted Answer

Solution:
Given information:
Mean difference = MD = -0.8Standard deviation of the difference =…