document.write( "Question 1186926: In order to ensure optimal health, a lab technician needs to feed the rabbits a daily diet containing a minimum of 24 grams (g) of fat, 36 g of carbohydrates, and 4 g of protein. But the rabbits should be fed no more than five ounces of food a day.\r
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document.write( "Rather than order rabbit food that is custom-blended, it may be cheaper to order Rabbit-Gro and Lucky-Rabbit, and blend them for an optimal mix. Rabbit-Gro contains 8 g of fat, 12 g of carbohydrates, and 2 g of protein per ounce, and costs $0.20 per ounce. Lucky-Rabbit contains 12 g of fat, 12 g of carbohydrates, and 1 g of protein per ounce, at a cost of $0.30 per ounce.
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Algebra.Com's Answer #849328 by CPhill(1959)![]() ![]() You can put this solution on YOUR website! To determine the most cost-effective mix of Rabbit-Gro and Lucky-Rabbit food that meets the rabbits' nutritional needs, we can use a system of inequalities and solve for the optimal amounts of each food.\r \n" ); document.write( "\n" ); document.write( "**Let:**\r \n" ); document.write( "\n" ); document.write( "* x = ounces of Rabbit-Gro \n" ); document.write( "* y = ounces of Lucky-Rabbit\r \n" ); document.write( "\n" ); document.write( "**Objective:** Minimize cost: C = 0.20x + 0.30y\r \n" ); document.write( "\n" ); document.write( "**Constraints:**\r \n" ); document.write( "\n" ); document.write( "* **Fat:** 8x + 12y ≥ 24 \n" ); document.write( "* **Carbohydrates:** 12x + 12y ≥ 36 \n" ); document.write( "* **Protein:** 2x + y ≥ 4 \n" ); document.write( "* **Total Food:** x + y ≤ 5 \n" ); document.write( "* **Non-negativity:** x ≥ 0, y ≥ 0\r \n" ); document.write( "\n" ); document.write( "**Solving the Problem:**\r \n" ); document.write( "\n" ); document.write( "One way to solve this is graphically. Plot each inequality on a graph with x and y axes. The feasible region is where all inequalities are satisfied. The optimal solution will be at one of the vertices (corners) of this region.\r \n" ); document.write( "\n" ); document.write( "Alternatively, you can use linear programming techniques (like the simplex method or software tools) to find the optimal solution.\r \n" ); document.write( "\n" ); document.write( "**Graphical Method (Sketch):**\r \n" ); document.write( "\n" ); document.write( "1. **Plot the lines:** Treat each inequality as an equation and plot the lines on a graph. \n" ); document.write( "2. **Shade the regions:** Shade the appropriate side of each line based on the inequality sign. \n" ); document.write( "3. **Identify the feasible region:** The feasible region is where all shaded areas overlap. \n" ); document.write( "4. **Find the vertices:** Determine the coordinates of the vertices of the feasible region. \n" ); document.write( "5. **Evaluate the objective function:** Plug the x and y coordinates of each vertex into the cost equation (C = 0.20x + 0.30y). \n" ); document.write( "6. **Optimal solution:** The vertex that yields the lowest cost is the optimal solution.\r \n" ); document.write( "\n" ); document.write( "**Linear Programming:**\r \n" ); document.write( "\n" ); document.write( "Linear programming is a more efficient way to solve this type of optimization problem, especially if there are many variables or constraints.\r \n" ); document.write( "\n" ); document.write( "**Expected Outcome:**\r \n" ); document.write( "\n" ); document.write( "By solving the system of inequalities and minimizing the cost function, you'll find the optimal number of ounces of Rabbit-Gro and Lucky-Rabbit to feed the rabbits while meeting their nutritional requirements and staying within the 5-ounce limit.\r \n" ); document.write( "\n" ); document.write( "*The solution will likely involve a combination of both foods, but it's possible that one food alone might be the most cost-effective option.* \n" ); document.write( " \n" ); document.write( " |