1. A study was conducted to test the question as to whether cigarette smoking is as- sociated with reduced serum-testosterone levels in men aged 35-45 years. The study involved the following four groups: . Nonsmokers who never smoked . Former smokers who had quit for at least six months prior to the study. . Light smokers, defined as those who smoked 10 or fewer cigarettes per day. . Heavy smokers, defined as those who smoked 30 or more cigarettes per day. Nonsmokers Former smokers Light smokers Heavy smokers 0.44 0.46 0.37 0.44 0.44 0.50 0.42 0.25 0.43 0.51 0.43 0.40 0.56 0.58 0.48 0.27 0.85 0.85 0.76 0.34 0.68 0.72 0.60 0.62 0.96 0.93 0.82 0.47 0.72 0.86 0.72 0.70 0.92 0.76 0.60 0.60 0.87 0.65 0.51 0.54 Use a = 0.05, is there any difference between the 4 groups? Do all this work in R using aov and ttest where needed. You will copy and paste all commands and output into Word and upload this word document along with a pdf of any hand work done in the completion part. You should also write a summary of findings after the aov and if needed each ttest and a grand conclusion of findings. So you may need up to 3 types of conclusions: 1) ANOVA conclusion - needed, 2) ttest conclusion - only if needed, 3) grand conclusion - only if you did the ttests.2. Four different brands of margarine were analyzed to determine the level of some un- saturated fatty acids (as a percentage of fats). Test to compare the four groups simul- taneously by hand. Use a significance level of 0.05. Only do the ANOVA part of this problem. Brand Fatty acids A 13.5 13.4 14.1 14.2 B 13.2 12.7 12.6 13.9 16.8 17.2 16.4 17.3 18.0 D 18.1 17.2 18.7 18.43. Do 2 in R and if needed complete the analysis with ttests and conclusions just like being asked for in 1