INDEPENDENT SAMPLE TEST A. Question/Research Problem Is there a significant difference between male and female in terms of returned money after getting too much change? B. Null and alternative hypothesis Null Hypothesis: There is no significant difference between male and female in terms of returned money after getting too much change. Alternative Hypothesis: There is a significant difference between male and female in terms of returned money after getting too much change. C. SPSS output GROUP STATISTICS R returned Respondents N Mean Std. Std. Error money after Sex Deviation Mean getting too much change MALE 635 5.25 917 036 FEMALE 702 5.27 .952 036 INDEPENDENT SAMPLES TEST Levene's Test for Equality of Variances T-test for Equality of Means F Sig. df Sig. Mean Std. Error 95% (2-tailed) Difference Difference Confidence Interval of the Difference Lower Upper R returned Equal 051 .821 -.340 1335 .734 .017 051 -.118 .083 money variances after assumed getting too Equal -.340 1329 .734 -.017 051 -.118 083 much variances .762 change not assumed D. Conclusion The table above shows the p-value of 0.734 for both equal variances assumed and not assumed, which are greater than 0.05, the chosen confidence interval. Therefore, the researchers do not reject the Null Hypothesis and thus accept that there is no significant difference between male and female in terms of returned money after getting too much change.II. INDEPENDENT SAMPLE T-TEST A. QuestionfResearch Problem Is there a significant difference between male and female in terms of work status? B. Null and Alternative Hypothesis Null Hypothesis: There is no significant difference between male and female in terms of work status. Alternative Hypothesis: There is a signicant difference between male and female in terms of work status. C. SPSS Results GROUP STATISTICS Respondents' N Mean Std. Std. Error Sex Deviation Mean Labor Male 1228 2.38 2.035 .058 Force Status Female 1537 3.18 2.474 .063 INDEPENDENT SAMPLE TEST Levene's Test T-test for Equality Labor Force Status for Equality of of Means Variances 95%: confidence Interval of the Difference F Sig. t df Sig. Mean Std. Error Lower Upper (2-tai Differe Differenc led) nce e Equal variances 176.784 .000 -9.165 2763 .000 -.805 .088 -.977 -.633 assumed Equal variances -9.385 2760.611 .000 -.805 .086 -.973 -.637 not assumed D. Conclusion