5 
Analyzing Change: Extrema and Points of Inflection 
Project 5.1: Hunting License Fees 
Setting In 1986, the state of California was trying to make a decision about raising the fee for a deer hunting license. Five hundred hunters were asked how much they would be willing to pay in excess of the current fee to hunt deer. The percentage of hunters to agree to a fee increase of $x is given by the logistic model ^{39} Suppose that in 1986 the license fee was $100, and 75,000 licenses were sold. Suppose that you are part of the 1986 Natural Resources Team presenting a proposed increase in the hunting license fee to the head of the California Department of Natural Resources.
1. Illustrate how the model can be used by answering the following questions. What was the hunting license revenue in 1986? Suppose that in 1987 the fee increased to $150.
Repeat the preceding analysis if the fee were increased to $300.
^{ }

Project 5.2: FundRaising Campaign 
Setting In order to raise funds, the mathematics department in your college or university is planning to sell Tshirts before next year's football game against the school's biggest rival. Your team has volunteered to conduct the fund raiser. Because several other student groups have also volunteered to head this project, your team is to present its proposal for the fund drive, as well as your predictions about its outcome, to a panel of mathematics faculty. On the basis of your findings, predict the optimal selling price, the number of Tshirts you intend to print, the costs involved, the number of Tshirts you expect to sell before realizing a profit (that is, the breakeven point), and the expected profit. Task A Follow the tasks for Project 2.2 on pages 141142. You will find a partial price listing for the Tshirt company in Table 2.73 on page 142. Task B 1. Getting Started: Review your work for Task A. If you wish to make any changes in your marketing scheme, you should do so now. If you decide to make any changes, make sure that the polling that was done is still applicable (for example, you will not be able to change your target market.) Change (if necessary) any models from Task A to reflect any changes in your marketing scheme. 2. Optimizing: Use the models of demand, revenue, total cost, and profit developed in Task A to proceed with this section. Determine the selling price that generates maximum revenue. What is maximum revenue? Is the selling price that generates maximum revenue the same as the price that generates maximum profit? What is maximum profit? Which should you consider (maximum revenue or maximum profit) in order to get the best picture of the effectiveness of the drive? Reevaluate the number of shirts you may wish to sell. Will this affect the cost you determined above? If so, change your revenue, total cost, and profit functions to reflect this adjustment and reanalyze optimal values. Show and explain the mathematics that underlies your reasoning. Discuss the sensitivity of the demand function to changes in price (check rates of change for $14, $10, and $6). Does the demand function have an inflection point? If so, find it. Find the rate of change of demand at this point, and interpret its meaning and impact in this context. How would the sensitivity of the demand curve affect your decisions about raising or lowering your selling price? Reporting 1. Write a report for the mathematics department concerning your proposed campaign. They will be interested in the business interpretation as well as in an accurate description of the mathematics involved. Make sure that you include graphical as well as mathematical representations of your demand, revenue, cost, and profit functions. (Include graphs of any functions and derivatives that you use. Include your calculations and your survey as appendices.) Do not forget to cover Task A in this report as well. 2. Make your proposal and present your findings to a panel of mathematics professors in a 15minute presentation. Your presentation should be restricted to the business interpretation, and you should use overhead transparencies of graphs and equations of all models and derivatives as well as any other visual aids that you consider appropriate. 