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Mathematics Standards




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Showing 41 - 50 of 132 Standards

Standard Identifier: A-REI.6

Grade Range: 7–12
Domain: Reasoning with Equations and Inequalities
Discipline: Math I
Conceptual Category: Algebra

Cluster:
Solve systems of equations. [Linear systems]

Standard:
Solve systems of linear equations exactly and approximately (e.g., with graphs), focusing on pairs of linear equations in two variables.

Standard Identifier: A-REI.6

Grade Range: 7–12
Domain: Reasoning with Equations and Inequalities
Discipline: Algebra I
Conceptual Category: Algebra

Cluster:
Solve systems of equations. [Linear-linear and linear-quadratic]

Standard:
Solve systems of linear equations exactly and approximately (e.g., with graphs), focusing on pairs of linear equations in two variables.

Standard Identifier: A-REI.7

Grade Range: 7–12
Domain: Reasoning with Equations and Inequalities
Discipline: Algebra I
Conceptual Category: Algebra

Cluster:
Solve systems of equations. [Linear-linear and linear-quadratic]

Standard:
Solve a simple system consisting of a linear equation and a quadratic equation in two variables algebraically and graphically.

Standard Identifier: S-ID.1

Grade Range: 7–12
Domain: Interpreting Categorical and Quantitative Data
Discipline: Math I
Conceptual Category: Statistics and Probability

Cluster:
Summarize, represent, and interpret data on a single count or measurement variable.

Standard:
Represent data with plots on the real number line (dot plots, histograms, and box plots). *

Standard Identifier: S-ID.1

Grade Range: 7–12
Domain: Interpreting Categorical and Quantitative Data
Discipline: Algebra I
Conceptual Category: Statistics and Probability

Cluster:
Summarize, represent, and interpret data on a single count or measurement variable.

Standard:
Represent data with plots on the real number line (dot plots, histograms, and box plots). *

Standard Identifier: S-ID.2

Grade Range: 7–12
Domain: Interpreting Categorical and Quantitative Data
Discipline: Algebra I
Conceptual Category: Statistics and Probability

Cluster:
Summarize, represent, and interpret data on a single count or measurement variable.

Standard:
Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets. *

Standard Identifier: S-ID.2

Grade Range: 7–12
Domain: Interpreting Categorical and Quantitative Data
Discipline: Math I
Conceptual Category: Statistics and Probability

Cluster:
Summarize, represent, and interpret data on a single count or measurement variable.

Standard:
Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets. *

Standard Identifier: S-ID.3

Grade Range: 7–12
Domain: Interpreting Categorical and Quantitative Data
Discipline: Math I
Conceptual Category: Statistics and Probability

Cluster:
Summarize, represent, and interpret data on a single count or measurement variable.

Standard:
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers). *

Standard Identifier: S-ID.3

Grade Range: 7–12
Domain: Interpreting Categorical and Quantitative Data
Discipline: Algebra I
Conceptual Category: Statistics and Probability

Cluster:
Summarize, represent, and interpret data on a single count or measurement variable.

Standard:
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers). *

Standard Identifier: S-ID.5

Grade Range: 7–12
Domain: Interpreting Categorical and Quantitative Data
Discipline: Algebra I
Conceptual Category: Statistics and Probability

Cluster:
Summarize, represent, and interpret data on two categorical and quantitative variables. [Linear focus; discuss general principle.]

Standard:
Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data. *

Showing 41 - 50 of 132 Standards


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