1. Questions

1. which type of statistical test is used?

2 is the result of the statistical result significant? What does this mean (use one sentence to interpret)?

3. what type of post hoc test is used? 4. how many groups were compared? 5. by reading the post hoc test, we know there are 3 pairs of comparisons (low income vs medium income, low income vs high income, medium income vs high income) which paurs of comparisons have significant results and why?

ANOVA satisfaction with life Sum of Squares df Mean Square F Sig. Between Groups 4.933 2 2.467 4.353 .038 Within Groups 6.800 12 .567 Total 11.733 14 Post Hoc Tests Multiple Comparisons Dependent Variable: satisfaction with life Bonferroni Mean (1) different () different Difference (1- 95% Confidence Interval income class income class J) Std. Error Sig. Lower Bound Upper Bound low medium -.80000 47610 .356 -2.1233 .5233 high -1.40000 .47610 .037 -2.7233 -.0767 medium low 80000 47610 356 -.5233 2.1233 high -.60000 .47610 .695 -1.9233 .7233 high low 1.40000 .47610 .037 0767 2.7233 medium 60000 47610 .695 -.7233 1.9233 *. The mean difference is significant at the 0.05 level.Oneway Descriptives satisfaction with life 95% Confidence Interval for Std. Mean N Mean Deviation Std. Error Lower Bound Upper Bound Minimum Maximum low 5 2.8000 83666 37417 1.7611 3.8389 2.00 4.00 medium 5 3.6000 .54772 24495 2.9199 4.2801 3.00 4.00 high 5 4.2000 83666 .37417 3.1611 5.2389 3.00 5.00 Total 15 3.5333 91548 23637 3.0264 4.0403 2.00 5.00 Test of Homogeneity of Variances satisfaction with life Levene Statistic df1 df2 Sig. .330 2 12 .725