Extracted text: To perform a Wilcoxon Signed Ranks Test using R, one can use wilcox.test () function. Data, R code and its output is given below. Data # Data in two numeric vectors # ++++++++++++++++++++++++++ # Weight of the mice before treatment before <-c(200.1, 190.9,="" 192.7,="" 213,="" 241.4,="" 196.9,="" 172.2,="" 185.5,="" 205.2,="" 193.7)="" #="" weight="" of="" the="" mice="" after="" treatment="" after=""><-c(392.9, 393.2,="" 345.1,="" 393,="" 434,="" 427.9,="" 422,="" 383.9,="" 392.3,="" 352.2)="" #="" create="" a="" data="" frame="" my_data=""><- data.frame="" (="" group="rep" (c="" ("before",="" "after"),="" each="weight" =="" c="" (before,="" after)="" 10),="" r="" code="" res=""><- wilcox.test (before, after, paired = true) res r output wilcoxon signed rank test data: before and after v = 0, p-value = 0.001953 alternative hypothesis: true location shift is not equal to 0 note: the dataset is about the weight of 10 mice before and after the treatment. which of the following is the correct interpretation of the data analysis using r? i. we can conclude that the mean weight of the mice before treatment is significantly different from the mean weight after treatment with a p-value = 0.001953. ii. we can conclude that the mean weight of the mice before treatment is the same with the mean weight after treatment with a p-value = 0.001953. iii. we can conclude that the median weight of the mice before treatment is the same with the median weight after treatment with a p-value = 0.001953. iv. we can conclude that the median weight of the mice before treatment is significantly different from the median weight after treatment with a p-value = 0.001953. a. i only ь. п оnly с. ш оnly d. iv only в wilcox.test="" (before,="" after,="" paired="TRUE)" res="" r="" output="" wilcoxon="" signed="" rank="" test="" data:="" before="" and="" after="" v="0," p-value="0.001953" alternative="" hypothesis:="" true="" location="" shift="" is="" not="" equal="" to="" 0="" note:="" the="" dataset="" is="" about="" the="" weight="" of="" 10="" mice="" before="" and="" after="" the="" treatment.="" which="" of="" the="" following="" is="" the="" correct="" interpretation="" of="" the="" data="" analysis="" using="" r?="" i.="" we="" can="" conclude="" that="" the="" mean="" weight="" of="" the="" mice="" before="" treatment="" is="" significantly="" different="" from="" the="" mean="" weight="" after="" treatment="" with="" a="" p-value="0.001953." ii.="" we="" can="" conclude="" that="" the="" mean="" weight="" of="" the="" mice="" before="" treatment="" is="" the="" same="" with="" the="" mean="" weight="" after="" treatment="" with="" a="" p-value="0.001953." iii.="" we="" can="" conclude="" that="" the="" median="" weight="" of="" the="" mice="" before="" treatment="" is="" the="" same="" with="" the="" median="" weight="" after="" treatment="" with="" a="" p-value="0.001953." iv.="" we="" can="" conclude="" that="" the="" median="" weight="" of="" the="" mice="" before="" treatment="" is="" significantly="" different="" from="" the="" median="" weight="" after="" treatment="" with="" a="" p-value="0.001953." a.="" i="" only="" ь.="" п="" оnly="" с.="" ш="" оnly="" d.="" iv="" only="">