Is there evidence suggesting that the interaction effect of the two independent variable influenced the outcome?

Univariate Tests Dependent Variable: praxis Sum of gender Squares df Mean Square Sig. Male Contrast 87.188 29.063 2.909 055 Error 239.750 24 9.990 2 Female Contrast 481.500 160.500 16.067 000 Error 239.750 24 9.990 Each F tests the simple effects of major within each level combination of the other effects shown. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means. Post Hoc Tests major Multiple Comparisons Dependent Variable: praxis Tukey HSD 95% Confidence Interval Mean Difference (1) major (J) major ( I - J ) Std. Error Sig Upper Bound Lower Bound Vocational Education 2 Physical Education 5.00(* ) 1.580 .020 9.36 -.64 3 English -7.63(* ) 1.580 .000 11.98 3.27 4 Math 10.50(*) 1.580 .000 -14.86 -6.14 2 Physical Education 1 Vocational Education 5.00(* ) 1.580 .020 .64 9.36 3 English -2.63 1.580 .365 6.98 1.73 4 Math .5.50(* ) 1.580 010 9.86 -1.14 3 English 1 Vocational Education 7.63(*) 1.580 000 3.27 11.98 2 Physical Education 2.63 1.580 365 -1.73 6.98 4 Math -2.88 1.580 289 -7.23 1.48 4 Math 1 Vocational Education 10.50(* ) 1.58 000 6.14 14.86 Physical Education 5.50(*) 1.580 .010 1.14 9.86 3 English 2.88 1.580 289 1.48 7.23 Based on observed means. The mean difference is significant at the .05 level. Homogeneous Subsets praxis Tukey HSD Subset major N 2 3 1 Vocational Education 30.13 2 Physical Education 35.13 3 English 37.75 37.75 4 Math 40.63 Sig. 1.000 365 289 Means for groups in homogeneous subsets are displayed. Based on Type Ill Sum of Squares The error term is Mean Square(Error) = 9.990. a Uses Harmonic Mean Sample Size = 8.000