Identify an example of a variable measured at the scaleormally distributed level for which there is a statistically significant overall difference (F) between the three marital status groups. Complete the analysis and interpret the results. appropriate post hoc test.

Below is the ANOVA I did. Have trouble interpreting and answering the above question.

Descriptives hours of study per week single married divorced Total N 20 18 11 49 Mean 11.50 18.06 20.09 15.84 Std. Deviation 4.883 8.980 8.837 8.252 Std. Error 1.092 2.117 2.664 1.179 95% Confidence Interval for Lower Bound 9.21 13.59 14.15 13.47 Mean Upper Bound 13.79 22.52 26.03 18.21 Minimum 2 10 8 2 Maximum 20 38 35 38Tests of Homogeneity of Variances Levene Statistic df1 df2 Sig. hours of study per week Based on Mean 2.792 2 46 072 Based on Median 2.440 2 46 098 Based on Median and with 2.440 2 36.947 .101 adjusted of Based on trimmed mean 2.602 2 46 085 ANOVA hours of study per week Sum of Squares df Mean Square F Sig. Between Groups 663.840 2 331.920 5.861 .005 Within Groups 2604.854 46 56.627 Total 3268.694 48ANOVA Effect Sizes a,b 95% Confidence Interval Point Estimate Lower Upper hours of study per week Eta-squared .203 .022 .371 Epsilon-squared .168 -.020 .343 Omega-squared Fixed-effect .166 -.020 .339 Omega-squared Random- 090 -.010 204 effect a. Eta-squared and Epsilon-squared are estimated based on the fixed-effect model. b. Negative but less biased estimates are retained, not rounded to zero