Research q attached (yellow)

Task 3- Generated tables attached.

please be thorough

T-Test Group Statistics Std. Error Maternal age group N Mean Std. Deviation Mean Length of baby (cm) 30 years and under 39 51.21 2.154 345 Over 30 years old 12 51.67 4.376 1.263 Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Mean Std. Error Difference F Sig. t df Sig. (2-tailed) Difference Difference Lower Upper Length of baby (cm) Equal variances 7.500 009 -.497 49 621 -.462 928 2.326 1.403 assumed Equal variances not -.352 12.681 .730 -.462 1.310 -3.298 2.375 assumed Independent Samples Effect Sizes Point 95% Confidence Interval Standardizera Estimate Lower Upper Length of baby (cm) Cohen's d 2.810 .164 .811 484 Hedges' correction 2.854 -.162 .799 477 Glass's delta 4.376 -. 105 -.752 545 a. The denominator used in estimating the effect sizes Cohen's d uses the pooled standard deviation. Hedges' correction uses the pooled standard deviation, plus a correction factor. Glass's delta uses the sample standard deviation of the control group.Over tasks 1 to 3, you will be examining the relationship between maternal age group and length of their newborn baby. For this analysis, you are specifically investigating the research question: "Are the babies of older mothers significantly longer than younger mothers?" For the following tasks, use a = 0.05, and the mage car and Length variables.Task 3 - Independent t-tests (Hypothesis Test) Perform an ITT to evaluate this research question. Assume the assumption of normality has been met and use the built-in test of homogeneity of variance to test this latter assumption (i.e. do not generate this using the Explore function). For this task, you must insert your Group Statistics and Independent Samples Test output tables into your assignment document (remember to paste as an image). You should comment on the Group Statistics table, perhaps relating the values shown here to previous output. Also, you should provide commentary on your assumption (homogeneity of variance) and hypothesis test findings (see hint below). Ensure you state the value of the p-value for these tests and not just its relationship to a (for example, ifp = 1 x 10", you should write it in this form, and not just "p