QuestionQuestion

Appropriately create and plot 95% bootstrap confidence intervals for the mean and standard deviation of insulin level.

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R Code is given below:
#read data in R
dia = read.csv("C:/Users/GCE Employee/Desktop/WORK/DOWNLOADS/SR8229762/DiabeticDrugTrial.csv")
install.packages("boot",dep=TRUE)

x <- dia$Insulin_mIU.per.L
n = length(x)

# sample mean
xbar = mean(x)
nboot = 200
# Generate 200 bootstrap samples, i.e. an n x 200 array of
# random resamples from x
tmpdata = sample(x,n*nboot, replace=TRUE)...

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