Mathematics Standards
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Interpreting Categorical and Quantitative Data
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Linear, Quadratic, and Exponential Models
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Operations and Algebraic Thinking
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Quantities
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Similarity, Right Triangles, and Trigonometry
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Trigonometric Functions
Results
Showing 51 - 60 of 133 Standards
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.*
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:
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. *
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:
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. *
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:
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.*
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: 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). *
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). *
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. *
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. *
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). *
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). *
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). *
Showing 51 - 60 of 133 Standards
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