The city of Waynesboro is trying to decide whether to initiate a composting project where each residence would be provided with a dumpster for garden and yard waste. The city manager needs some measure of assurance that the citizens will participate before launching the project, so he chooses a random sample of $25$ homes and provides them with the new dumpster for yard and garden waste. After one week the contents of each dumpster is weighed (in pounds) before processing. The sorted data is shown below:  

1. Create a combination boxplot and histogram. Use an interval of $0$ to $42$ pounds on the x-axis and a bin width of $6$ pounds.

   Answer (b):

   The distribution has a right skew and an outlier at $36.5$ pounds so the center is best described by the median of $8.0$ pounds and the spread by the IQR of $12.95$ pounds.

2. Describe the center, shape, spread and outliers.

3. What is a better measure of center for this distribution the mean or median and why?

   Answer (c):

   The median is better in this case because it is not affected by skewing and outliers.

4. What is a better measure of spread the standard deviation or IQR and why?

   Answer (d):

   The IQR is better in this case because it is less affected by skewing and outliers than the standard deviation.

5. The city can sell the compost, and engineers estimate the program will be profitable if each home averages at least $9$ pounds of material. The city manager sees the mean is nearly $10$ pounds and is ready to order dumpsters for every residence. What advice would you give him?

   Answer (e):

   Removing the outlier from the data drops the mean to $8.7$ pounds which is below the profitable minimum. Suggest running the test a few more weeks. Perhaps as people get used to the composting program, they will participate more.