Galenic Inc. is a wholesaler for a range of pharmaceutical products. Before deducting any losses from bad debts, Galenic operates on a profit margin of 6%. For a long time the firm has employed a numerical credit-scoring system based on a small number of key ratios. This has resulted in a bad debt ratio of 1.00%.

Galenic has recently commissioned a detailed statistical study of the payment record of its customers over the past 6 years and, after considerable experimentation, has identified five variables that could form the basis of a new credit-scoring system. On the evidence of the past 8 years, Galenic calculates that for every 10,000 accounts it would have experienced the following default rates:

	Number of Accounts
Credit Score under Proposed System	Defaulting			Paying			Total
Better than 80		70			9,090			9,160
Worse than 80		30			810			840
Total		100			9,900			10,000

By refusing credit to firms with a poor credit score (worse than 80), Galenic calculates that it would reduce its bad debt ratio to 70 / 9,160, or just under 0.70%. While this may not seem like a big deal, Galenics credit manager reasons that this is equivalent to a decrease of one-fifth in the bad debt ratio and would result in a significant improvement in the profit margin.

a. What is Galenics current profit margin, allowing for bad debts? (Round your answer to 2 decimal places.)

b. Assuming that the firms estimates of default rates are right, what would the profit per $100 of original sales be under the new credit-scoring system? (Do not round intermediate calculations. Round your answer to 2 decimal places.)

d. Suppose that one of the variables in the proposed new scoring system is whether the customer has an existing account with Galenic (new customers are more likely to default). Would you be more or less likely to accept the proposal? (Hint: Think about repeat sales.)