Weibull distributions are specified using two parameters, the shape and the scale parameter and can be simulated in R using the command rweibull(n, shape, scale). For instance, if you need to simulate three random variables from a Weibull distributin with shape 2 and scale 1, the R code would be rweibull(3, shape = 2, scale = 1). She is intersted in knowing what the standard distribution of how late her colleages are. This can be measure in R using the function sd() At the end of lockdown she has a recorded 100 days worth of measurements and, after wrestling with R for a little while, she estimates that the shape parameter of the Weibull distribution is 4.5 and the scale parameter is 4. Alice computes the sample standard deviation as 0.98. Unfortunately, Alice does not know how to compute a confidence interval for the standard deviation. Use 10^4 parametric bootstrap samples to compute the 80% confidence interval for the standard deviation. what is the lower and upper confidence bound? with working on what to write in the r studio pls