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Showing 71 - 80 of 103 Standards

Standard Identifier: A-CED.4

Grade Range: 7–12
Domain: Creating Equations
Discipline: Algebra I
Conceptual Category: Algebra

Cluster:
Create equations that describe numbers or relationships. [Linear, quadratic, and exponential (integer inputs only); for A.CED.3 linear only]

Standard:
Rearrange formulas to highlight a quantity of interest, using the same reasoning as in solving equations. For example, rearrange Ohm’s law V = IR to highlight resistance R. *

Standard Identifier: A-CED.4

Grade Range: 7–12
Domain: Creating Equations
Discipline: Math I
Conceptual Category: Algebra

Cluster:
Create equations that describe numbers or relationships. [Linear and exponential (integer inputs only); for A.CED.3, linear only]

Standard:
Rearrange formulas to highlight a quantity of interest, using the same reasoning as in solving equations. For example, rearrange Ohm’s law V = IR to highlight resistance R. *

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 71 - 80 of 103 Standards


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