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$)\backslash$times $$Profit if coupon used$+(1-$P$($coupon used$))\backslash$times $$Profit if coupon not used

determine which customers should be sent the coupon.

Customer Probability of Using Coupon

$10\mathrm{.}50$

$20\mathrm{.}37$

$30\mathrm{.}25$

$40\mathrm{.}11$

$50\mathrm{.}08$

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

Customer Expected Profit

$1$ $$$

$2$ $$$

$3$ $$$

$4$ $$$

$5$ $$$

The expected profit is positive for customers $(2$ and $3)(4$ and $5))1,2,$ and $3)(3,4,$ and $5)(1,2,3,$ and $4)(1,2,3,$ and $5)(2,3,4,$ and $5)(1,2,3,4,$ and $5),$ so these customers $($ should be offered$/$ should not be offered$)$ the coupon