IM 7.1.3 Lesson: Making Scaled Copies
For each problem, select the answer from the two choices.
The value of [math]25\cdot\left(8.5\right)[/math] is:
The value of [math]\text{(9.93)⋅(0.984)}[/math] is:
The value of [math]\text{(0.24)⋅(0.67)}[/math] is:
Draw a scaled copy of either Figure A or B using a scale factor of 3.
Draw a scaled copy of either Figure C or D using a scale factor of 1/2.
Diego and Jada want to scale this polygon so the side that corresponds to 15 units in the original is 5 units in the scaled copy.[br][img]data:image/png;base64,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[/img][br][br]Diego and Jada each use a different operation to find the new side lengths. Here are their finished drawings.[br][br][img]data:image/png;base64,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[/img][br][br][br]What operation do you think Diego used to calculate the lengths for his drawing?
What operation do you think Jada used to calculate the lengths for her drawing?
Did each method produce a scaled copy of the polygon? Explain your reasoning.
Andre wants to make a scaled copy of Jada's drawing so the side that corresponds to 4 units in Jada’s polygon is 8 units in his scaled copy.[br][br][img]data:image/png;base64,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[/img][br][br]Andre says “I wonder if I should add 4 units to the lengths of all of the segments?” What would you say in response to Andre? Explain or show your reasoning.
Create the scaled copy that Andre wants.
The side lengths of Triangle B are all 5 more than the side lengths of Triangle A. Can Triangle B be a scaled copy of Triangle A? Explain your reasoning.
IM 7.1.3 Practice: Making Scaled Copies
Draw a scaled copy of Polygon A using a scale factor of 2.
Draw a scaled copy of Polygon B using a scale factor of 1/2.
Draw a scaled copy of Polygon C using a scale factor of 3/2.
Quadrilateral A has side lengths 6, 9, 9, and 12. Quadrilateral B is a scaled copy of Quadrilateral A, with its shortest side of length 2. What is the perimeter of Quadrilateral B?[br][br]If it is helpful, you may use the coordinate grid below to show your work.
Here is a polygon on a grid. Draw a scaled copy of this polygon that has a perimeter of 30 units.
What is the scale factor of the polygon you drew above? Explain how you know.