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Find the distance between the two points. \[ (x, y)=(-17,-2) \text { and }(x, y)=(-1,7) \] \( \square \) Additional Materials

Ask by Davies Rodriguez. in the United States
Mar 10,2025

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The distance between the points \((-17, -2)\) and \((-1, 7)\) is \(\sqrt{337}\).

Solución

We start by using the distance formula for two points \( (x_1, y_1) \) and \( (x_2, y_2) \), which is given by \[ d = \sqrt{(x_2-x_1)^2 + (y_2-y_1)^2}. \] Given the points \( (-17,-2) \) and \( (-1,7) \), we identify \[ x_1 = -17, \quad y_1 = -2, \quad x_2 = -1, \quad y_2 = 7. \] 1. Compute the difference in the \( x \)-coordinates: \[ x_2 - x_1 = -1 - (-17) = -1 + 17 = 16. \] 2. Compute the difference in the \( y \)-coordinates: \[ y_2 - y_1 = 7 - (-2) = 7 + 2 = 9. \] 3. Square each difference: \[ (16)^2 = 256, \quad (9)^2 = 81. \] 4. Sum the squared differences: \[ 256 + 81 = 337. \] 5. Take the square root to find the distance: \[ d = \sqrt{337}. \] Thus, the distance between the given points is \[ \boxed{\sqrt{337}}. \]

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To find the distance between the points \((-17,-2)\) and \((-1,7)\), we can use the distance formula: \[ d = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2} \] Substituting in the coordinates, we have: \[ d = \sqrt{((-1) - (-17))^2 + (7 - (-2))^2} \] \[ d = \sqrt{(16)^2 + (9)^2} \] \[ d = \sqrt{256 + 81} \] \[ d = \sqrt{337} \approx 18.36 \] So, the distance between the two points is approximately 18.36 units. --- Did you know that the distance formula is fundamentally derived from the Pythagorean theorem? It essentially treats the straight line connecting two points as the hypotenuse of a right triangle, with the differences in the x-coordinates and y-coordinates forming the other two sides. This fascinating connection illustrates how geometry can help quantify our world! In practical scenarios, this distance formula can be incredibly useful! Whether you’re planning the shortest route for a road trip, determining the distance between two cities on a map, or even measuring how far you are from a friend’s house, this formula simplifies otherwise complex navigation. Plus, it’s a key principle in fields like computer graphics and physics, making it a handy tool in your mathematical toolbox!

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