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Amit Almor, a psychology researcher at the University of South Carolina, conducted a series of experiments on conversation and attention level. He found that subjects were four times more distracted while preparing to speak or speaking than when they were listening. This research has implications for the issue of using cell phones while driving, as well as for many other areas. You decide to explore this issue by having three different groups try detecting visual shapes on a monitor. The first group is preparing to speak, the second group is speaking, and the third group is listening to a conversation. The sample mean and sum of squares of the scores for each of the three groups are presented in the following table. Group Preparing to speak Speaking Listening After collecting the data, you analyze the data using an ANOVA. The results of your analysis are presented in the following ANOVA table. Source of Variation Between Treatments Within Treatments Total Sample Mean Sum of Squares 23,655.2400 21,099.8900 27,155.2500 OMSbetweeMStotal OSSbetwee $Swithin 96.8 101.5 106.4 MSbetweeMSwithin OSSbetwee$Stotal df ANOVA Table SS 6,913.01 2 71,910.38 447 78,823.39 449 These findings are significant at a = 0.05, which tells you that the difference is very unlikely to have occurred just by chance, but it does not tell you the size of the effect. A simple measure of the effect size is given by What is the formula for this measure of the effect size? MS 3,456.51 160.87 Based on the data given, the effect size is places) F 21.49 . (Round your answer to two decimal The percentage of variability in the scores accounted for by the effect due to treatments is

Amit Almor, a psychology researcher at the University of South Carolina, conducted a series of experiments on conversation and attention level. He found that subjects were four times more distracted while preparing to speak or speaking than when they were listening. This research has implications for the issue of using cell phones while driving, as well as for many other areas. You decide to explore this issue by having three different groups try detecting visual shapes on a monitor. The first group is preparing to speak, the second group is speaking, and the third group is listening to a conversation. The sample mean and sum of squares of the scores for each of the three groups are presented in the following table. Group Preparing to speak Speaking Listening After collecting the data, you analyze the data using an ANOVA. The results of your analysis are presented in the following ANOVA table. Source of Variation Between Treatments Within Treatments Total Sample Mean Sum of Squares 23,655.2400 21,099.8900 27,155.2500 OMSbetweeMStotal OSSbetwee $Swithin 96.8 101.5 106.4 MSbetweeMSwithin OSSbetwee$Stotal df ANOVA Table SS 6,913.01 2 71,910.38 447 78,823.39 449 These findings are significant at a = 0.05, which tells you that the difference is very unlikely to have occurred just by chance, but it does not tell you the size of the effect. A simple measure of the effect size is given by What is the formula for this measure of the effect size? MS 3,456.51 160.87 Based on the data given, the effect size is places) F 21.49 . (Round your answer to two decimal The percentage of variability in the scores accounted for by the effect due to treatments is

MATLAB: An Introduction with Applications
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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Amit Almor, a psychology researcher at the University of South Carolina, conducted a series of experiments on conversation and attention level. He found that subjects were four times more distracted while preparing to speak or speaking than when they were listening. This research has implications for the issue of using cell phones while driving, as well as for many other areas. You decide to explore this issue by having three different groups try detecting visual shapes on a monitor. The first group is preparing to speak, the second group is speaking, and the third group is listening to a conversation. The sample mean and sum of squares of the scores for each of the three groups are presented in the following table. Group Preparing to speak Speaking Listening Sample Mean Sum of Squares 23,655.2400 21,099.8900 27,155.2500 After collecting the data, you analyze the data using an ANOVA. The results of your analysis are presented in the following ANOVA table. Source of Variation Between Treatments Within Treatments Total 96.8 101.5 106.4 MSbetwee MStotal OSSbetweeSSwithin OMSbetweeMSwithin OSSbetwee$Stotal ANOVA Table SS df 6,913.01 2 71,910.38 447 78,823.39 449 MS 3,456.51 160.87 These findings are significant at a = 0.05, which tells you that the difference is very unlikely to have occurred just by chance, but it does not tell you the size of the effect. A simple measure of the effect size is given by What is the formula for this measure of the effect size? Based on the data given, the effect size is places) F 21.49 (Round your answer to two decimal The percentage of variability in the scores accounted for by the effect due to treatments is
Transcribed Image Text:Amit Almor, a psychology researcher at the University of South Carolina, conducted a series of experiments on conversation and attention level. He found that subjects were four times more distracted while preparing to speak or speaking than when they were listening. This research has implications for the issue of using cell phones while driving, as well as for many other areas. You decide to explore this issue by having three different groups try detecting visual shapes on a monitor. The first group is preparing to speak, the second group is speaking, and the third group is listening to a conversation. The sample mean and sum of squares of the scores for each of the three groups are presented in the following table. Group Preparing to speak Speaking Listening Sample Mean Sum of Squares 23,655.2400 21,099.8900 27,155.2500 After collecting the data, you analyze the data using an ANOVA. The results of your analysis are presented in the following ANOVA table. Source of Variation Between Treatments Within Treatments Total 96.8 101.5 106.4 MSbetwee MStotal OSSbetweeSSwithin OMSbetweeMSwithin OSSbetwee$Stotal ANOVA Table SS df 6,913.01 2 71,910.38 447 78,823.39 449 MS 3,456.51 160.87 These findings are significant at a = 0.05, which tells you that the difference is very unlikely to have occurred just by chance, but it does not tell you the size of the effect. A simple measure of the effect size is given by What is the formula for this measure of the effect size? Based on the data given, the effect size is places) F 21.49 (Round your answer to two decimal The percentage of variability in the scores accounted for by the effect due to treatments is
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