C12. Using Monitoring the Future 2017 data, we examine whether a relationship exists between the race/ethnicity of a student and how the student rates the importance of being a community leader. IMPLDRCOMUNTY is measured on an ordinal scale: 1 = not important, 2 = somewhat important, 3 = quite important, and 4 = extra important. Analysis of variance results are presented. 1) Set alpha at .05. What do you conclude about the relationship between student race/ethnicity and the importance of being a community leader? 2) What is the eta square for this model? 3) If alpha were set at .01, would your decision change? Explain.
C12. Using Monitoring the Future 2017 data, we examine whether a relationship exists between the race/ethnicity of a student and how the student rates the importance of being a community leader. IMPLDRCOMUNTY is measured on an ordinal scale: 1 = not important, 2 = somewhat important, 3 = quite important, and 4 = extra important. Analysis of variance results are presented. 1) Set alpha at .05. What do you conclude about the relationship between student race/ethnicity and the importance of being a community leader? 2) What is the eta square for this model? 3) If alpha were set at .01, would your decision change? Explain.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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C12. Using Monitoring the Future 2017 data, we examine whether a relationship exists between the race/ethnicity of a student and how the student rates the importance of being a community leader. IMPLDRCOMUNTY is measured on an ordinal scale: 1 = not important, 2 = somewhat important, 3 = quite important, and 4 = extra important. Analysis of variance results are presented.
1) Set alpha at .05. What do you conclude about the relationship between student race/ethnicity and the importance of being a community leader?
2) What is the eta square for this model?
3) If alpha were set at .01, would your decision change? Explain.
![171A007H:IMP LDR COMUNTY
BLACK:(1)
WHITE:(2)
HISPANIC:(3)
Total
Between Groups
Within Groups
Total
N
ription
276
1041
380
1697
Mean
171A007H:IMP LDR COMUNTY
Sum of
Squares
2.91
2.51
2.53
2.58
35.836
1631.435
1667.270
Std.
Deviation
ANOVA
df
2
1694
1696
.996
.969
1.005
.991
Descriptives
Std. Error
.060
.030
.052
.024
Mean Square
17.918
.963
95% Confidence Interval for
Mean
Lower Bound
2.79
2.45
2.43
2.53
F
18.605
Sig.
.000
Upper Bound
3.03
2.57
2.64
2.63
Minimum
1
1
1
1
Maximum
4](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff8b7087c-12b7-4d60-82ce-8b2d75d4cbad%2Ffb3f8318-78e1-40b2-9ba4-3f197b8ec01c%2F1q4sta_processed.png&w=3840&q=75)
Transcribed Image Text:171A007H:IMP LDR COMUNTY
BLACK:(1)
WHITE:(2)
HISPANIC:(3)
Total
Between Groups
Within Groups
Total
N
ription
276
1041
380
1697
Mean
171A007H:IMP LDR COMUNTY
Sum of
Squares
2.91
2.51
2.53
2.58
35.836
1631.435
1667.270
Std.
Deviation
ANOVA
df
2
1694
1696
.996
.969
1.005
.991
Descriptives
Std. Error
.060
.030
.052
.024
Mean Square
17.918
.963
95% Confidence Interval for
Mean
Lower Bound
2.79
2.45
2.43
2.53
F
18.605
Sig.
.000
Upper Bound
3.03
2.57
2.64
2.63
Minimum
1
1
1
1
Maximum
4
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