13. The accompanying data set consists of observations on shower- ow rate (L/min) for a sample of n129 houses in Perth, Australia ( AnApplication of Bayes Methodology to the Analysis of Diary Records in a Water Use Study, J. Amer. Statist. Assoc., 1987:
705—711):
4.6 12.3 7.1 7.0 4.0 9.2 6.7 6.9 11.5 5.1 11.2 10.5 14.3 8.0 8.8 6.4 5.1 5.6 9.6 7.5 7.5 6.2 5.8 2.3 3.4 10.4 9.8 6.6 3.7 6.4 8.3 6.5 7.6 9.3 9.2 7.3 5.0 6.3 13.8 6.2 5.4 4.8 7.5 6.0 6.9 10.8 7.5 6.6 5.0 3.3 7.6 3.9 11.9 2.2 15.0 7.2 6.1 15.3 18.9 7.2 5.4 5.5 4.3 9.0 12.7 11.3 7.4 5.0 3.5 8.2 8.4 7.3 10.3 11.9 6.0 5.6 9.5 9.3 10.4 9.7 5.1 6.7 10.2 6.2 8.4 7.0 4.8 5.6 10.5 14.6 10.8 15.5 7.5 6.4 3.4 5.5 6.6 5.9 15.0 9.6 7.8 7.0 6.9 4.1 3.6 11.9 3.7 5.7 6.8 11.3 9.3 9.6 10.4 9.3 6.9 9.8 9.1 10.6 4.5 6.2 8.3 3.2 4.9 5.0 6.0 8.2 6.3 3.8 6.0

a. Construct a stem-and-leaf display of the data.

b. What is a typical, or representative, ow rate?

c. Does the display appear to be highly concentrated or spread out?

d. Does the distribution of values appear to be reasonably symmetric? If not, how would you describe the departure from symmetry?

e. Would you describe any observation as being far from the rest of the data (an outlier)?