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Mathematics Standards




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Showing 101 - 110 of 167 Standards

Standard Identifier: 7.G.4

Grade: 7
Domain: Geometry

Cluster:
Solve real-life and mathematical problems involving angle measure, area, surface area, and volume.

Standard:
Know the formulas for the area and circumference of a circle and use them to solve problems; give an informal derivation of the relationship between the circumference and area of a circle.

Standard Identifier: 7.G.5

Grade: 7
Domain: Geometry

Cluster:
Solve real-life and mathematical problems involving angle measure, area, surface area, and volume.

Standard:
Use facts about supplementary, complementary, vertical, and adjacent angles in a multi-step problem to write and solve simple equations for an unknown angle in a figure.

Standard Identifier: 7.G.6

Grade: 7
Domain: Geometry

Cluster:
Solve real-life and mathematical problems involving angle measure, area, surface area, and volume.

Standard:
Solve real-world and mathematical problems involving area, volume and surface area of two- and three-dimensional objects composed of triangles, quadrilaterals, polygons, cubes, and right prisms.

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.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.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.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.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.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.5

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 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 101 - 110 of 167 Standards


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