Two sample T hypothesis test: H13 Mean of Carbon H23 Mean of Steel H1 - pg: Difference between two means H9=' F1 - F2 = 0 HA : 141 - :42 % 0 (without pooled variances) Sample Statistics: Sample 11 Mean Std. dev. Carbon 27 18.540741 4.3575098 Steel 31 20.496774 5.0872051 Hypothesis test results: Difference Sample Diff. Std. Err. DF T-Stat P-value u1-p2 -1.9560335 1.2401947 55.988789 -l.577l987 0.1204 d) Based on the p-value rom the output produced in part (c), we would fail to reject the null hypothesis, and this is because the pvalue is greater than the hypothesis test. Two sample T confidence interval: H1 : Mean of Carbon H2 : Mean of Steel H1 - H2 : Difference between two means (without pooled variances) 95% confidence interval results: Difference Sample Diff. Std. Err. DF L. Limit U. Limit H1 - H2 -1.9560335 1.2401947 55.988789 -4.4404529 0.52838602\f