the question is in the attachment below. Please explain the answer

The nurse manager notices an increase in CAUTIs and wants to determine whether there is a difference in the number of CAUTIs between males and females. Given the independent samples test with alpha = 0.05: Levene's Test for Equality of Variances Test for Equality of Means F Sig Mean Sig t (2-tailed) Difference Std. Error Difference Equal Female 0.01 0.0624 2.4 15 0.01 1.34 0.87 variances assumed Equal Male variances 4.2 14.33 0.06 1.34 0.82 not assumed What is the correct conclusion about the null hypothesis? t=2.4, df=15, p=0.01; reject the null hypothesis t=4.2, df=14.33, p=0.03; reject the null hypothesis t=2.4, df=15, p=0.01; fail to reject the alternate hypothesis t=4.2, df=14.33, p=0.03; fail to reject the alternate hypothesis