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)
5th Edition
ISBN:9780134477961
Author:Saundra K. Ciccarelli, J. Noland White
Publisher:Saundra K. Ciccarelli, J. Noland White
Chapter1: The Science Of Psychology
Section: Chapter Questions
Problem 1TY
Related questions
Question
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?
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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