"The rapid growth of video game popularity has generated concern among practitioners, parents, scholars and politicians," wrote researchers Hope M. Cummings and Elizabeth A. Vandewater. "Particularly during adolescence, when social interactions and academic success lay the groundwork for health in adulthood, there is concern that video games will interfere with the development of skills needed to make a successful transition to adulthood." [Source: Cummings, H., & Vandewater, E. (2007). Relation of adolescent video game play to time spent in other activities. Archives of Pediatrics & Adolescent Medicine, 161(7), 684-689.] Cummings and Vandewater measured the time adolescents spent playing video games and the time they spent doing other activities, such as interacting with family and friends, reading or doing homework, or playing sports. Suppose you decide to conduct a similar study among a random sample of 52 teenage girls who play video games. You want to determine whether the amount of time girls spend playing video games is correlated with the amount of time they exercise, so you ask the girls to keep a log of their activities over a week's time. Let p denote the population Pearson correlation coefficient between the amount of time girls spend playing video games and the amount of time they exercise. Your null hypothesis is and your alternative hypothesis is -Your hypothesis test will be test. The population Pearson correlation coefficient between the amount of time girls spend playing video games and the time they exercise in your sample is r = -0.52. The test statistic for your hypothesis test ist= The value for the degrees of freedom you should use for your hypothesis test is following Distributions tool to find the critical value(s). t Distribution Det ДДД -2.0 - 4.0 0.0 . Use this value to set the Degrees of Freedom on the 2.0 3.0
"The rapid growth of video game popularity has generated concern among practitioners, parents, scholars and politicians," wrote researchers Hope M. Cummings and Elizabeth A. Vandewater. "Particularly during adolescence, when social interactions and academic success lay the groundwork for health in adulthood, there is concern that video games will interfere with the development of skills needed to make a successful transition to adulthood." [Source: Cummings, H., & Vandewater, E. (2007). Relation of adolescent video game play to time spent in other activities. Archives of Pediatrics & Adolescent Medicine, 161(7), 684-689.] Cummings and Vandewater measured the time adolescents spent playing video games and the time they spent doing other activities, such as interacting with family and friends, reading or doing homework, or playing sports. Suppose you decide to conduct a similar study among a random sample of 52 teenage girls who play video games. You want to determine whether the amount of time girls spend playing video games is correlated with the amount of time they exercise, so you ask the girls to keep a log of their activities over a week's time. Let p denote the population Pearson correlation coefficient between the amount of time girls spend playing video games and the amount of time they exercise. Your null hypothesis is and your alternative hypothesis is -Your hypothesis test will be test. The population Pearson correlation coefficient between the amount of time girls spend playing video games and the time they exercise in your sample is r = -0.52. The test statistic for your hypothesis test ist= The value for the degrees of freedom you should use for your hypothesis test is following Distributions tool to find the critical value(s). t Distribution Det ДДД -2.0 - 4.0 0.0 . Use this value to set the Degrees of Freedom on the 2.0 3.0
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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