I only need the answer to the last question

A hardware store must decide how many snow shovels to order for the coming snow season. Each shovel costs $11.00 and is sold for $24.05. No inventory is carried from one snow season to the next. Shovels unsold after February are sold at a discount price of $10.00. Past data indicate that sales are highly dependent on the severity of the winter season. Past seasons have been classified as mild or harsh, and the following distribution of regular price demand has been tabulated. Shovels must be ordered from the manufacturer in lots of 200; thus, possible order sizes are 200, 400, 1,400, 1,600 2,400, 2,600, and 3,000 units. Construct a decision tree for each of the possible sizes to illustrate the components of the decision model, and find the optimal quantity for the hardware store to order if the forecast calls for a 40% chance of a harsh winter. : Click the icon to view the regular price demand data Click here to view decision trees - X Price demand O Click here to view decision treet. Construct a decision tree for order size 2600. Choose the corrert choice holow Click here to view decision tree x. Mild Winter No. of Shovels Probability 250 300 0.4 350 0.1 0.5 Harsh Winter No. of Shovels Probability 1,500 0.2 2.500 0.3 3,000 0.5 400 Click here to view decision tree w. Click here to view decision tree v. Click here to view decision tree u. 1400 0 Construct a decision tree for order size 3000. Choose the corre 1600 2400 Print Done Click here to view decision tree dd. Click here to view decision tree aa. Click here to view decision tree cc. Click here to view decision tree bb. 200 3000 units for a net profit of $ if the forecast calls for a 40% chance of a harsh winter. The optimal quantity for the hardware store is an order size of (Round to the nearest whole number as needed.)