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Showing 21 - 30 of 56 Standards

Standard Identifier: G-GPE.5

Grade Range: 7–12
Domain: Expressing Geometric Properties with Equations
Discipline: Math I
Conceptual Category: Geometry

Cluster:
Use coordinates to prove simple geometric theorems algebraically. [Include distance formula; relate to Pythagorean Theorem.]

Standard:
Prove the slope criteria for parallel and perpendicular lines and use them to solve geometric problems (e.g., find the equation of a line parallel or perpendicular to a given line that passes through a given point).

Standard Identifier: G-GPE.7

Grade Range: 7–12
Domain: Expressing Geometric Properties with Equations
Discipline: Math I
Conceptual Category: Geometry

Cluster:
Use coordinates to prove simple geometric theorems algebraically. [Include distance formula; relate to Pythagorean Theorem.]

Standard:
Use coordinates to compute perimeters of polygons and areas of triangles and rectangles, e.g., using the distance formula. *

Standard Identifier: N-Q.1

Grade Range: 7–12
Domain: Quantities
Discipline: Algebra I
Conceptual Category: Number and Quantity

Cluster:
Reason quantitatively and use units to solve problems. [Foundation for work with expressions, equations and functions]

Standard:
Use units as a way to understand problems and to guide the solution of multi-step problems; choose and interpret units consistently in formulas; choose and interpret the scale and the origin in graphs and data displays.*

Standard Identifier: N-Q.1

Grade Range: 7–12
Domain: Quantities
Discipline: Math I
Conceptual Category: Number and Quantity

Cluster:
Reason quantitatively and use units to solve problems. [Foundation for work with expressions, equations, and functions]

Standard:
Use units as a way to understand problems and to guide the solution of multi-step problems; choose and interpret units consistently in formulas; choose and interpret the scale and the origin in graphs and data displays. *

Standard Identifier: N-Q.2

Grade Range: 7–12
Domain: Quantities
Discipline: Math I
Conceptual Category: Number and Quantity

Cluster:
Reason quantitatively and use units to solve problems. [Foundation for work with expressions, equations, and functions]

Standard:
Define appropriate quantities for the purpose of descriptive modeling. *

Standard Identifier: N-Q.2

Grade Range: 7–12
Domain: Quantities
Discipline: Algebra I
Conceptual Category: Number and Quantity

Cluster:
Reason quantitatively and use units to solve problems. [Foundation for work with expressions, equations and functions]

Standard:
Define appropriate quantities for the purpose of descriptive modeling.*

Standard Identifier: N-Q.3

Grade Range: 7–12
Domain: Quantities
Discipline: Algebra I
Conceptual Category: Number and Quantity

Cluster:
Reason quantitatively and use units to solve problems. [Foundation for work with expressions, equations and functions]

Standard:
Choose a level of accuracy appropriate to limitations on measurement when reporting quantities.*

Standard Identifier: N-Q.3

Grade Range: 7–12
Domain: Quantities
Discipline: Math I
Conceptual Category: Number and Quantity

Cluster:
Reason quantitatively and use units to solve problems. [Foundation for work with expressions, equations, and functions]

Standard:
Choose a level of accuracy appropriate to limitations on measurement when reporting quantities. *

Standard Identifier: 8.SP.1

Grade: 8
Domain: Statistics and Probability

Cluster:
Investigate patterns of association in bivariate data.

Standard:
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.

Standard Identifier: 8.SP.2

Grade: 8
Domain: Statistics and Probability

Cluster:
Investigate patterns of association in bivariate data.

Standard:
Know 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 the data points to the line.

Showing 21 - 30 of 56 Standards


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