We selected a random sample of 200 StatCrunchU students, 116 females and 84 males. We analyzed their responses to the question, "What is the total amount (in dollars) of credit card debt you have accrued to date?"  With more than 30 in each random and independent sample, conditions are met for modeling the distribution of differences in sample means using a T-model. Therefore, we used StatCrunch to find a confidence interval to estimate the gender difference in credit card debt for StatCrunchU students. Here are our results. Two sample T confidence interval: : Mean of CC Debt where Gender="Female" : Mean of CC Debt where Gender="Male" : Difference between two means (without pooled variances) 95% confidence interval results: Difference Sample Diff. Std. Err. DF L. Limit U. Limit -1077.4848 355.81934 138.27934 -1781.0351 -373.93454   What can we conclude? Check all that apply.