Consider the sample data provided with this exam. Assume that this data comes from a population about which you know nothing except what is contained in the sample. 1. Plot the sample distribution using an appropriate plotting method for univariate data. 2. Provide a 95% confidence interval for the population mean based on this sample and an assumption about the sampling distribution for the population mean. 3. Provide a 95% confidence interval for the population mean by means of a bootstrapping technique. 4. Which of the above two methods (i.e., parametric or bootstrap) do you prefer for this problem? Why? What are the limitations or drawbacks of your chosen method? 5. Update your previous plot or create a new plot to support your analysis.

\f