Appropriately create and plot 95% bootstrap confidence intervals for the mean and standard deviation of insulin level.
Question
Solution Preview
These solutions may offer step-by-step problem-solving explanations or good writing examples that include modern styles of formatting and construction of bibliographies out of text citations and references. Students may use these solutions for personal skill-building and practice. Unethical use is strictly forbidden.
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)...
By purchasing this solution you'll be able to access the following files:
Solution.docx.
Return to homework library