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8th Grade Math

Grade 8 Math Course - New York Curriculum

Explore comprehensive Grade 8 Math curriculum aligned with New York State Next Generation Mathematics Learning Standards. Master algebraic reasoning, geometric transformations, and statistical analysis through structured learning pathways designed for student success.

New York Grade 8 Math Course CurriculumHelp

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Standard

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NY-8.NS.1

Know that numbers that are not rational are called irrational

NY-8.EE.3

Use numbers expressed in the form of a single digit times an integer power of 10 to estimate very large or very small quantities

NY-8.F.1

Understand that a function is a rule that assigns to each input exactly one output

NY-8.F.2

Compare properties of two functions each represented in a different way

NY-8.F.3

Interpret the equation y = mx + b as defining a linear function

NY-8.F.5

Describe qualitatively the functional relationship between two quantities by analyzing a graph

NY-8.G.1

Verify experimentally the properties of rotations, reflections, and translations

NY-8.G.2

Understand that a two-dimensional figure is congruent to another if the second can be obtained from the first by a sequence of rotations, reflections, and translations

NY-8.G.3

Describe the effect of dilations, translations, rotations, and reflections on two-dimensional figures using coordinates

NY-8.G.4

Understand that a two-dimensional figure is similar to another if the second can be obtained from the first by a sequence of rotations, reflections, translations, and dilations

NY-8.G.5

Use informal arguments to establish facts about the angle sum and exterior angle of triangles

NY-8.G.6

Explain a proof of the Pythagorean Theorem and its converse

NY-8.G.7

Apply the Pythagorean Theorem to determine unknown side lengths in right triangles in real-world and mathematical problems in two and three dimensions

NY-8.SP.1

Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities

NY-8.SP.2

Know that straight lines are widely used to model relationships between two quantitative variables

NY-8.SP.4

Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table