In: Statistics and Probability
Tests of Between-Subjects Effects |
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Dependent Variable: EXAM SCORE |
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Source |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
Corrected Model |
1364.414a |
7 |
194.916 |
3.518 |
.001 |
Intercept |
281831.987 |
1 |
281831.987 |
5086.866 |
.000 |
DEGREE |
443.543 |
3 |
147.848 |
2.669 |
.049 |
GENDER |
92.341 |
1 |
92.341 |
1.667 |
.198 |
DEGREE * GENDER |
373.523 |
3 |
124.508 |
2.247 |
.084 |
Error |
10637.541 |
192 |
55.404 |
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Total |
1543777.000 |
200 |
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Corrected Total |
12001.955 |
199 |
In the SPSS output above, which of the variables are considered significant? Which null hypothesis would you need to reject?