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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 many implications, including those for the issue of using cell phones while driving. You decide to explore this issue by having three different groups try tracking a fast-moving target on a computer screen. 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 Sample Mean Sum of Squares Preparing to speak 99.1 149,345.7100 0 Speaking 102.6 126,152.190o Listening 103.5 151,077.2400 After collecting the data, you analyze the data using an ANOVA. The results of your analysis are presented in the following ANOVA table. ANOVA Table Source of Variation df MS F Between Treatments 5,403.35 2 2,701.68 9.48 within Treatments 426,575.14 1,497 284.95 Total 431,978.49 1,499 These findings are significant at a = 0.01, 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? O MSpetwe/MSota O SSeiween/SSotal O MStetvem/MSwichin O SSpetwoen/SS.thin

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 many implications, including those for the issue of using cell phones while driving. You decide to explore this issue by having three different groups try tracking a fast-moving target on a computer screen. 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 Sample Mean Sum of Squares Preparing to speak 99.1 149,345.7100 0 Speaking 102.6 126,152.190o Listening 103.5 151,077.2400 After collecting the data, you analyze the data using an ANOVA. The results of your analysis are presented in the following ANOVA table. ANOVA Table Source of Variation df MS F Between Treatments 5,403.35 2 2,701.68 9.48 within Treatments 426,575.14 1,497 284.95 Total 431,978.49 1,499 These findings are significant at a = 0.01, 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? O MSpetwe/MSota O SSeiween/SSotal O MStetvem/MSwichin O SSpetwoen/SS.thin

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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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 many implications, including those for the issue of using cell phones while driving. You decide to explore this issue by having three different groups try tracking a fast-moving target on a computer screen. 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 Sample Mean Sum of Squares Preparing to speak 99.1 149,345.7100 Speaking 102.6 126.152.1900 Listening 103.5 151,077.2400 After collecting the data, you analyze the data using an ANOVA. The results of your analysis are presented in the following ANOVA table. ANOVA Table Source of Variation ss df MS F Between Treatments 5,403.35 2 2,701.68 9.48 Within Treatments 426,575.14 1,497 284.95 Total 431,978.49 1,499 These findings are significant at a = 0.01, 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? O MSpetwoen/MStotal O SSpeiween/SStotal O MSpeiwoen/MSIthin O SSpetween/SSthin
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 many implications, including those for the issue of using cell phones while driving. You decide to explore this issue by having three different groups try tracking a fast-moving target on a computer screen. 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 Sample Mean Sum of Squares Preparing to speak 99.1 149,345.7100 Speaking 102.6 126.152.1900 Listening 103.5 151,077.2400 After collecting the data, you analyze the data using an ANOVA. The results of your analysis are presented in the following ANOVA table. ANOVA Table Source of Variation ss df MS F Between Treatments 5,403.35 2 2,701.68 9.48 Within Treatments 426,575.14 1,497 284.95 Total 431,978.49 1,499 These findings are significant at a = 0.01, 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? O MSpetwoen/MStotal O SSpeiween/SStotal O MSpeiwoen/MSIthin O SSpetween/SSthin
Group Sample Mean Sum of Squares Preparing to speak 99.1 149,345.7100 Speaking 102.6 126,152.1900 Listening 103.5 151,077.2400 After collecting the data, you analyze the data using an ANOVA. The results of your analysis are presented in the following ANOVA table. ANOVA Table Source of Variation df MS F Between Treatments 5,403.35 2 2,701.68 9.48 Within Treatments 426,575.14 1,497 284.95 Total 431,978.49 1,499 These findings are significant at a = 0.01, 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? O MSpetwom/MSotal O SSpetween/SSotal O MSpeiwoen/MSIthin O SSpetwoen/SSwihin Based on the data given, the effect size is (Round your answer to two decimal places) The percentage of variability in the scores accounted for by the effect due to treatments is
Transcribed Image Text:Group Sample Mean Sum of Squares Preparing to speak 99.1 149,345.7100 Speaking 102.6 126,152.1900 Listening 103.5 151,077.2400 After collecting the data, you analyze the data using an ANOVA. The results of your analysis are presented in the following ANOVA table. ANOVA Table Source of Variation df MS F Between Treatments 5,403.35 2 2,701.68 9.48 Within Treatments 426,575.14 1,497 284.95 Total 431,978.49 1,499 These findings are significant at a = 0.01, 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? O MSpetwom/MSotal O SSpetween/SSotal O MSpeiwoen/MSIthin O SSpetwoen/SSwihin Based on the data given, the effect size is (Round your answer to two decimal places) The percentage of variability in the scores accounted for by the effect due to treatments is
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