IM Geo.1.18 Practice: Practicing Point by Point Transformations

The figures are congruent.
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[/img][br]Select [b]all[/b] the sequences of transformations that would take Figure 1 to Figure 2.
Draw the image of figure ACTS after a clockwise rotation around point T using angle CTS and then a translation by directed line segment CT.
Describe another sequence of transformations that will result in the same image.[br]
Draw the image of triangle ABC after this sequence of rigid transformations.
[list][*]Reflect across line segment [math]AB[/math].[/*][*]Translate by directed line segment [math]u[/math].[/*][/list][*][/*]
[size=150]Describe a transformation that takes any point [math]A[/math] to any point [math]B[/math].[/size]
Triangle ABC is congruent to triangle A'B'C'. Describe a sequence of rigid motions that takes A to A', B to B', and C to C'.
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[/img]
[size=150]A quadrilateral has rotation symmetry that can take any of its vertices to any of its other vertices. [br][/size][br]Select [b]all[/b] conclusions that we can reach from this.
[size=150]A quadrilateral has a line of symmetry. [br][/size][br]Select [b]all[/b] conclusions that [i]must [/i]be true.
[size=150]Which segment is the image of[math]FG[/math] when rotated[math]90^{\circ}[/math] clockwise around point [math]P[/math]?[/size][br][br][img]data:image/png;base64,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[/img]
[size=150]Which statement is true about a translation?[/size]
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Information: IM Geo.1.18 Practice: Practicing Point by Point Transformations