## Unit 1: Geometry

### April 6-17

Understand congruence and similarity using physical models, transparencies, or geometry software.

NY-8.G.3 Describe the effect of dilations, translations, rotations, and reflections on two-dimensional figures using coordinates. Note: Lines of reflection are limited to both axes and lines of the form y=k and x=k, where k is a constant. Rotations are limited to 90

## Unit 2: Geometry

### April 20-May 1

Understand congruence and similarity using physical models, transparencies, or geometry software.

NY-8.G.2 Know that a two-dimensional figure is congruent to another if the corresponding angles are congruent and the corresponding sides are congruent. Equivalently, two two dimensional figures are congruent if one is the image of the other after a sequence of rotations, reflections, and translations. Given two congruent figures, describe a sequence that maps the congruence between them on the coordinate plane.

## Unit 3: Geometry

### May 4-15

Understand congruence and similarity using physical models, transparencies, or geometry software.

NY-8.G.5 Use informal arguments to establish facts about the angle sum and exterior angle of triangles, about the angles created when parallel lines are cut by a transversal, and the angle-angle criterion for similarity of triangles.

e.g., Arrange three copies of the same triangle so that the three angles appear to form a line, and give an argument in terms of transversals why this is so.
Note: This standard does not include formal geometric proof. Multiple representations may be used to demonstrate understanding.

## Unit 4: Geometry

### May 18-29

Investigate patterns of association in bivariate data.

NY-8.SP.1 Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association

## Unit 5: Statistics and Probability

### June 1-5

Investigate patterns of association in bivariate data.

NY-8.SP.2 Understand that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of mature plant height.

## Unit 6: Statistics and Probability

### June 15-26

Solve real-world and mathematical problems involving volume of cylinders, cones, and spheres.

NY-8.G.9 Given the formulas for the volume of cones, cylinders, and spheres, solve mathematical and real-world problems.