Honey is a technology company that provides online coupons to its subscribers. Honey's analytics staff has developed a classification method to predict whether a customer who has been sent a coupon will apply the coupon toward a purchase. For a sample of customers, the following table lists the classification model's estimated coupon usage probability for a customer. For this particular campaign, suppose that when a customer uses a coupon, Honey receives $$1$ in revenue from the product sponsor. To target the customer with the coupon offer, Honey incurs a cost of $$0\mathrm{.}05.$ Honey will offer a customer a coupon as long as the expected profit of doing so is positive. Using the equation

Expected Profit $of$ Coupon Offer $=P($ coupon used $)$ Profit $if$ coupon used $+(1-P($ coupon used $))$ Profit $if$ coupon not used

determine which customers should be sent the coupon.

$\backslash$table$[[$Customer$,$Probability of Using Coupon$],[1,0\mathrm{.}45],[2,0\mathrm{.}37],[3,0\mathrm{.}26],[4,0\mathrm{.}11],[5,0\mathrm{.}04]]$

Determine the expected profit for each customer. Round your answers to the nearest cent. Enter negative value as negative number, if any.

$\backslash$table$[[$Customer$,$Expected Profit$],[1,$$$,ox$