2. The nutritionist also wens to determine it there is a difference in the average weight loss between male and female clients, Men tend to lose weight faster due to their higher percentage of lean muscle tissue and higher metabolic rate. To answer this, you recommended using a parametric test I-lest which requires the data of each group to be normally distributed. Using R Commander, the lollcuving results for the test of the assumptions were generated. RCOMMANDEROUTPUT sex = tonal. ShapiroWilk normality test data: weightless W = E94514, p-value = 0'2748 ShapiroWilk normality test data: weightless w - 0.97646, p-Value - 0.3227 R COMMANDER OUTPUT sex = telltale sex I male R COMMANDER DU 1 PU] R COMMANDER OUTPUT meat = chicken ShapiroWills normality data: triglyceride = 0.90761, pvalue = Shapiro-Wills normality data: triglyceride = 0.87041, pvalue = 0. Shapiro-Wills normality data: triglyceride w = 0.93761. pvalue = 0. R COMMANDER OUTPUT Levene's Test for Homogeneity of Variance (center = "mean") Dr F value Pr(>F) group 2 0.7724 0.4683 42 1. Interpret the results by answering the blanks and choosing the right answer, Based on the histogram for the male group, the graph is which indicates that the data tor this group (may, may not) satisfy the normality assumption, Also, for the female group. the graph which indicates that the data for this group (may, may not) satisfy the normality assumption. 2. Which between a parametric test or a nonparametric test would you recommend? Explain your answer 1. Interpret the results by answering the blanks and choosing the right answer. For the homogeneity of variance assumption, the boxplots which indicates that the assumption (may, may not) be satised. Result of the statistical test indicate that the homogeneity of variance assumption is (satised, not satised) with p-value equal to- 2. Which between a parametric test or a nonparametric test would you recommend? Explain your