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Exercise 307<br />

(a) The percentage of people who will reply to the first letter in<br />

the North (N), Central (C) and South (S) regions of the country,<br />

respectively.<br />

(b) The average donation of those replying to the first letter in each<br />

of these regions.<br />

(c) The percentage of people who will reply to the reminder in each<br />

of the three regions.<br />

(d) The average donation of those replying to the reminder in each<br />

of the regions.<br />

Probability distributions have been estimated for the different<br />

regions because their different economic conditions are likely to<br />

have a major effect on people’s propensity to donate to the charity.<br />

Figure 11.6 shows the cumulative probability distribution of net<br />

returns (i.e. the total value of donations less the cost of running the<br />

direct-mail appeal). It can be seen that there is approximately a 20%<br />

probability that the net returns will be negative, causing the charity<br />

to lose money. In the simulation the possible losses extended to<br />

nearly $150 000.<br />

The managers of the charity are keen to take action to reduce<br />

this risk, but are not sure where their actions should be directed?<br />

Figure 11.7 shows a tornado diagram for the appeal. The numbers<br />

at the ends of the bars show what are thought to be the highest<br />

and lowest possible values for each factor. For example, the possible<br />

average donation in the North is thought to range from $2 to $17.<br />

(a) Identify the areas where risk management is likely to be most<br />

effective.<br />

(b) Create a set of possible risk management strategies that might<br />

reduce the risk of the charity losing money and increase its<br />

expected return.<br />

Cumulative probability<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

−200000 −100000 0 100000 200000 300000<br />

Surplus $<br />

Figure 11.6 – Cumulative probability distribution for AB Charity

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