Load a data set from the R library Sleuth2 corresponding to the following table: My data is: case0302- dioxin concentration based on service history. 3) For each of the observed parts separately, find the most similar distribution: Estimate the parameters of the normal, exponential and uniform distribution. Insert the corresponding densities with estimated parameters into the plot of the histogram. Discuss which of them fits the data best. 4) For each of the groups, generate a random sample of 100 observations from the distribution you have chosen in the previous part, with parameters estimated from the data. Compare the histogram of the simulated values with the original data