Fill in blanks please. This is a two sample hypothesis test for two (dependent/independent) samples.The conclusion of the test is: At 0.05 significance, there (is sufficient/insufficient) evidence to (support/reject) the claim that females and males have the same mean BPI

D Question 2 3 pts BMI We know that the mean weight of men is greater than the mean weight of women, and the mean height of men is greater than the mean height of women. A person's body mass index (BMI) is computed by dividing weight (kg) by the square of height (m). Given below are the BMI statistics for random samples of females and males taken from Data Set 1 "Body Data" in Appendix B. Use a 0.05 significance level to test the claim that females and males have the same mean BMI. Female BMI: n = 70, x-bar = 29.10, s = 7.39 Male BMI: n = 80, x-bar = 28.38, s = 5.37 This is a two-sample hypothesis test for two [ Select ] samples. The conclusion of the test is: At 0.05 significance, there [ Select ] evidence to [ Select ] the claim that females and males have the same mean BMI