Answer:
Objective function (maximize)

Constraints
- Availabitily of salt: 
- Availability of herbs: 
- Availability of flour: 
Explanation:
This a linear programming problem. We have an objective function (in this case it is the profit) that we want to optimize, but complying with constraints (in this case, the availability of ingredients).
The objective function can be defined taking into account the profits of the two kind of chips:

The constraints can be expressed taking into account the amount of ingredients every unit of chip needs and stating that it has to be less or equal to the availability of this ingredient:
- Availabitily of salt:

- Availability of herbs

- Availability of flour

With these expressions the linear programming problem can be solved.
Answer:
Ending inventory= $5,040
Explanation:
Giving the following information:
Beginning Inventory= 1000 units for $7.20
Mar. 10: Purchase= 600 units for $7.25
Mar. 16: Purchase= 800 units for $7.30
Mar. 23: Purchase= 600 units for $7.35
Marvin sold 2,300 units.
Under the LIFO inventory method, the ending inventory cost is calculated using the first units incorporated to inventory.
Ending inventory in units= total units - units sold
Ending inventory in units= 3,000 - 2,300= 700 units
Ending inventory= 700*7.2= $5,040
Debit Interest Expense [$480,000 x 8% x 360/360] = $38,400.00
<span>Credit Interest Payable = $38,400.00</span>
15,900 is my because thats how much only sandra will pay.
Answer:
It means exchange for good or service without using any money