Page 1-3 belong to the first Hypothesis, whereas page 4-5 belong to the second hypothesis. I want to determine if i am supposed to reject or accept the null hypothesis after this tables and why? Please interpret the answerumbers. These tables are made from IBM SPSS

Hypothesis 5: Will one gender spend less than the other if the employee is dressed professionally HO: Males will not spend less than females if the employee is dressed professionally H1: Males will spend less than females if the employee is dressed professionally H5 stated that males would spend less than females if the employee was dressed professionally, which is supported by the results given below: Between-Subjects Factors Value Label N X1 0 PROF_ATTIRE 50 UNPROF_ATTIRE 50 Gender MALE FEMALE 50Tecto of Between-Subjects Effects Dependent Variable: SPEND Type Sum Source of Squares Mean aquare Corrected 2088.385- 985.128 33.535 Model Intercept 8750.794 6780.794 227.230 X1 2112.722 2112.722 71.125 DOI Gender 25.205 25.205 X1 " Gender 220.312 220.312 T.HIT Error 2851.615 95 29.704 Total 13584.000 100 Corrected 5840.000 Total a. R Squared = .512 (Adjusted R Squared = 495)EXP1 * Gender Dependent Variable SPEND 95% Confidence Interval EXP1 Gender Mean Std. Error Lower Bound Upper Bound PROF_ATTIRE MALE 1.871 .979 -.072 3.814 FEMALE 6.421 1.250 3.939 8.903 UNPROF_ATTIRE MALE 15.800 1.723 12.379 19.221 FEMALE 13.550 862 11.839 15.261 Is null hypothesis rejected of accepted? How?Hypothesis 6: Is there a difference between customers spending more if the employee uses a hard close HO: Customers will not spend more if the employees use a hard close H1: Customers will spend more if the employees use a hard close Group Statistics X2 N Mean Std. Deviation Std. Error Mean SPEND SOFT CLOSE 50 8.28 8.064 1.140 HARD CLOSE 50 9.32 7.322 1.035Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference Sig. (2- Mean Std. Error F Sig. df tailed) Difference Difference Lower Upper SPEND Equal 1.208 .274 -.675 98 501 -1.040 1.540 -4.097 2.017 variances assumed Equal -.675 97.101 .501 -1.040 1.540 -4.097 2.017 variances not assumed Is null hypothesis rejected of accepted? How