document.write( "Question 1189926: Given:
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document.write( "Room1 : length=4m : width=3m
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document.write( "Room2 : length=6m : width=4m
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document.write( "Tiles:
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document.write( "Glossy1 : 0.5m x 0.5m cost $8/tile
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document.write( "Glossy2 : 1m x 1m cost $10/tile
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document.write( "Non glossy1: 0.5m x 0.5m cost $5/tile
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document.write( "Non glossy2: 1m x 1m cost $7/tile
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document.write( "How to formulate 2 quadratic inequalities involving the dimensions of the floor of the rooms and the measure and costs of the tiles. Then graph the solution sets of these inequalities.\r
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Algebra.Com's Answer #849259 by CPhill(1959)![]() ![]() You can put this solution on YOUR website! Here's how to formulate the quadratic inequalities and approach the graphing:\r \n" ); document.write( "\n" ); document.write( "**1. Area Calculations:**\r \n" ); document.write( "\n" ); document.write( "* **Room 1 Area:** Length * Width = 4m * 3m = 12 m² \n" ); document.write( "* **Room 2 Area:** Length * Width = 6m * 4m = 24 m²\r \n" ); document.write( "\n" ); document.write( "**2. Tile Area Calculations:**\r \n" ); document.write( "\n" ); document.write( "* **Glossy 1 Tile Area:** 0.5m * 0.5m = 0.25 m² \n" ); document.write( "* **Glossy 2 Tile Area:** 1m * 1m = 1 m² \n" ); document.write( "* **Non-Glossy 1 Tile Area:** 0.5m * 0.5m = 0.25 m² \n" ); document.write( "* **Non-Glossy 2 Tile Area:** 1m * 1m = 1 m²\r \n" ); document.write( "\n" ); document.write( "**3. Number of Tiles Needed (Variables):**\r \n" ); document.write( "\n" ); document.write( "Let's define variables for the number of each type of tile:\r \n" ); document.write( "\n" ); document.write( "* g1 = Number of Glossy 1 tiles \n" ); document.write( "* g2 = Number of Glossy 2 tiles \n" ); document.write( "* n1 = Number of Non-Glossy 1 tiles \n" ); document.write( "* n2 = Number of Non-Glossy 2 tiles\r \n" ); document.write( "\n" ); document.write( "**4. Area Inequalities:**\r \n" ); document.write( "\n" ); document.write( "Since the total tile area must be *at least* equal to the room area, we have two inequalities for each room:\r \n" ); document.write( "\n" ); document.write( "* **Room 1:** \n" ); document.write( " * 0.25g1 + 1g2 + 0.25n1 + 1n2 ≥ 12 \n" ); document.write( "* **Room 2:** \n" ); document.write( " * 0.25g1 + 1g2 + 0.25n1 + 1n2 ≥ 24\r \n" ); document.write( "\n" ); document.write( "**5. Cost Inequalities:**\r \n" ); document.write( "\n" ); document.write( "Let's assume a combined budget for both rooms. Let 'B' be the total budget. The cost inequalities are:\r \n" ); document.write( "\n" ); document.write( "* 8g1 + 10g2 + 5n1 + 7n2 ≤ B\r \n" ); document.write( "\n" ); document.write( "**6. Graphing the Solution Sets:**\r \n" ); document.write( "\n" ); document.write( "Graphing these inequalities directly in 4D space (g1, g2, n1, n2) is impossible on a 2D surface. To visualize, we need to make some simplifications. Here are a few approaches:\r \n" ); document.write( "\n" ); document.write( "* **Scenario 1: Fixed Tile Mix:** Assume a fixed ratio of tile types (e.g., equal numbers of glossy and non-glossy tiles). This reduces the variables and makes graphing possible. For example, if g1 = n1 and g2 = n2, our inequalities would be:\r \n" ); document.write( "\n" ); document.write( " * Room 1: 0.5g1 + 2g2 ≥ 12 \n" ); document.write( " * Room 2: 0.5g1 + 2g2 ≥ 24 \n" ); document.write( " * Cost: 13g1 + 17g2 ≤ B\r \n" ); document.write( "\n" ); document.write( " Now you have inequalities in 2D space (g1 and g2) that you can graph.\r \n" ); document.write( "\n" ); document.write( "* **Scenario 2: Focus on One Room, Two Tile Types:** Consider just Room 1 and two tile types (e.g., Glossy 1 and Glossy 2). The inequalities become:\r \n" ); document.write( "\n" ); document.write( " * 0.25g1 + g2 ≥ 12 \n" ); document.write( " * 8g1 + 10g2 ≤ B (budget for Room 1)\r \n" ); document.write( "\n" ); document.write( " Again, this is a 2D graphing problem (g1 and g2).\r \n" ); document.write( "\n" ); document.write( "* **Software:** Software like GeoGebra or Wolfram Alpha can handle 3D graphing, which could be used if you can reduce the number of variables to three.\r \n" ); document.write( "\n" ); document.write( "**7. Interpreting the Graphs:**\r \n" ); document.write( "\n" ); document.write( "The solution set (the feasible region) on the graph represents the combinations of tile numbers that satisfy both the area and cost constraints. Any point within this region represents a possible solution.\r \n" ); document.write( "\n" ); document.write( "**Example (Scenario 2):**\r \n" ); document.write( "\n" ); document.write( "Let's say the budget for Room 1 is $200. Our inequalities are:\r \n" ); document.write( "\n" ); document.write( "* 0.25g1 + g2 ≥ 12 \n" ); document.write( "* 8g1 + 10g2 ≤ 200\r \n" ); document.write( "\n" ); document.write( "You would graph these two inequalities on a g1-g2 plane. The overlapping shaded region is your solution set.\r \n" ); document.write( "\n" ); document.write( "**Important Considerations:**\r \n" ); document.write( "\n" ); document.write( "* **Integer Solutions:** Since you can't buy fractions of tiles, you're only interested in integer solutions within the feasible region. \n" ); document.write( "* **Optimization:** You could add an objective function (e.g., minimize cost) and use linear programming techniques to find the optimal solution. \n" ); document.write( " \n" ); document.write( " |