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The ANOVA requires that the assumption of normality be met. Normality was examined using Shapiro-Wilks because the sample size was less than 50 participants. The assumption of normality was metot met. See Table 2 for Tests of Normality.

Tests of Normality Kolmogorov-Smirnov" Shapiro-Wilk Subject Statistic df Sig. Statistic f Sig. Salary math 241 6 200 928 6 566 science .348 6 022 .774 034 English .297 6 108 808 6 070 * This is a lower bound of the true significance. a, Lilliefors Significance CorrectionLevene's Test of Equality of Error Variances"? Levene Statistic df 1 df2 Sig. Salary Based on Mean .286 15 755 Based on Median .459 N NN 15 .641 Based on Median .459 10.060 .645 and with adjusted of Based on trimmed .344 2 15 .714 mean Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a. Dependent variable: Salary b. Design: Intercept + SubjectTests of Between-Subjects Effects Dependent Variable; Salary Type Ill Sum of Mean Partial Eta Source Squares df Square Sig. Squared Corrected Model 2.779E+9" 2 1.3908+9 49.964 000 869 Intercept 1.1 16+11 1 1.1 18+11 3999.650 996 Subject 2.7798+9 1.390E+9 49.964 869 Error 4.172E+8 15 27811111 Total 1.146+11 18 Corrected Total 3.196E+9 17 a. R Squared = .869 (Adjusted R Squared = .852)Multiple Comparisons Dependent Variable: Salary Tukey HSD Mean 95% Confidence Interval Difference Lower Upper (1) Subject (J) Subject ( I-J) Std. Error Sig Bound Bound math science -3666.67 3044.728 469 -1 1575.26 4241.92 English 24333.33 3044.728 000 16424.74 32241.92 science math 3666.67 3044.728 469 -4241.92 1 1575.26 English 28000.00 3044.728 .000 20091.41 35908.59 English math -24333.33 3044.728 000 -32241.92 -16424.74 science -28000.00* 3044.728 000 -35908.59 -20091.41 Based on observed means. The error term is Mean Square(Error) = 27811111.111. *. The mean difference is significant at the .05 level