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Is there a significant difference in e-mail hours per week among the same educational groups? Using data from the GSS 2018, we ran an ANOVA model using DEGREE (educational attainment) as the independent variable and EMAILHR (e-mail hours per week) as the dependent variable. Based on an alpha of .05, what do you conclude?

Is there a significant difference in e-mail hours per week among the same educational groups? Using data from the GSS 2018, we ran an ANOVA model using DEGREE (educational attainment) as the independent variable and EMAILHR (e-mail hours per week) as the dependent variable. Based on an alpha of .05, what do you conclude?

Ciccarelli: Psychology_5 (5th Edition)
Ciccarelli: Psychology_5 (5th Edition)
5th Edition
ISBN:9780134477961
Author:Saundra K. Ciccarelli, J. Noland White
Publisher:Saundra K. Ciccarelli, J. Noland White
Chapter1: The Science Of Psychology
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C10. Is there a significant difference in e-mail hours per week among the same educational groups? Using data from the GSS 2018, we ran an ANOVA model using DEGREE (educational attainment) as the independent variable and EMAILHR (e-mail hours per week) as the dependent variable. Based on an alpha of .05, what do you conclude?

Email hours per week LT HIGH SCHOOL HIGH SCHOOL JUNIOR COLLEGE BACHELOR GRADUATE Total Email hours per week Between Groups Within Groups Total N 68 328 68 124 76 664 Sum of Squares 3647.686 75953.372 79601.059 Mean 3.63 5.05 5.93 9.62 10.42 6.46 ANOVA df Std. Deviation 4 659 663 10.117 10.378 10.722 12.399 9.840 10.957 Descriptives Std. Error 1.227 .573 1.300 1.113 1.129 .425 Mean Square 911.922 115.255 F 7.912 95% Confidence Interval for Mean Lower Bound 1.18 3.92 3.33 7.42 8.17 5.63 Sig. .000 Upper Bound 6.08 6.18 8.52 11.82 12.67 7.30 Minimum Maximum 0 OOOOO 0 0 0 0 0 70 100 70 60 40 100
Transcribed Image Text:Email hours per week LT HIGH SCHOOL HIGH SCHOOL JUNIOR COLLEGE BACHELOR GRADUATE Total Email hours per week Between Groups Within Groups Total N 68 328 68 124 76 664 Sum of Squares 3647.686 75953.372 79601.059 Mean 3.63 5.05 5.93 9.62 10.42 6.46 ANOVA df Std. Deviation 4 659 663 10.117 10.378 10.722 12.399 9.840 10.957 Descriptives Std. Error 1.227 .573 1.300 1.113 1.129 .425 Mean Square 911.922 115.255 F 7.912 95% Confidence Interval for Mean Lower Bound 1.18 3.92 3.33 7.42 8.17 5.63 Sig. .000 Upper Bound 6.08 6.18 8.52 11.82 12.67 7.30 Minimum Maximum 0 OOOOO 0 0 0 0 0 70 100 70 60 40 100
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