Can you help me interpret these charts? I ran my data in SPSS and these are my results. But what exactly do they mean? I'm having a difficult time understanding this and how to explain what these numbers means.

My quantitative variable is Religious Commitment Inventory

The categorical variable and question is "Have you been sexually active in the last 6 months with your current romantic partner?"

The number of respondents that said no is 43. The number of respondents that said yes is 91.

The Mean for 'No' is 3.2755, the Standard Deviaiton is .58747, and the Standard Error Mean is .08959

The Mean for 'Yes' is 3.3865, the Standard Deviaiton is .62703, and the Standard Error Mean is .06573

I ran the Independent T test in SPSS and this is my information:

The row for Equal Variances Assumed is as follows:

For Levene's Test for Equality of Variances F = .049, Sig. = .825, t = -.977, df = 132, one-sided p = .165, two-sided p = .331, mean difference = .11109, standard error difference = .11376, 95% CI of the difference for Lower is -.33611, for Upper is .11393

For Equality of Variances Not Assumed the information is as follows:

t = -1.0000, df = 87.549, one-sided p = .160, two-sided p = .320, mean difference = .11109, standard error difference = .11111, 95% CI of the difference for Lower is -.33192, for Upper is .10975