Mathematics Standards
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Add a Domain
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Arithmetic with Polynomials and Rational Expressions
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Circles
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Conditional Probability and the Rules of Probability
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Counting and Cardinality
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Expressing Geometric Properties with Equations
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Expressions and Equations
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Functions
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Geometric Measurement and Dimension
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Interpreting Categorical and Quantitative Data
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Linear, Quadratic, and Exponential Models
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Making Inferences and Justifying Conclusions
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Modeling with Geometry
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Number and Operations—Fractions
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Ratios and Proportional Relationships
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The Number System
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Trigonometric Functions
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Add a Discipline (Grade 7-12)
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Algebra II
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Geometry
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Math I
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Math II
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Math III
Results
Showing 1 - 10 of 68 Standards
Standard Identifier: F-LE.1.a
Grade Range:
7–12
Domain:
Linear, Quadratic, and Exponential Models
Discipline:
Math I
Conceptual Category:
Functions
Cluster:
Construct and compare linear, quadratic, and exponential models and solve problems. [Linear and exponential]
Standard:
Distinguish between situations that can be modeled with linear functions and with exponential functions. * Prove that linear functions grow by equal differences over equal intervals, and that exponential functions grow by equal factors over equal intervals. *
Construct and compare linear, quadratic, and exponential models and solve problems. [Linear and exponential]
Standard:
Distinguish between situations that can be modeled with linear functions and with exponential functions. * Prove that linear functions grow by equal differences over equal intervals, and that exponential functions grow by equal factors over equal intervals. *
Standard Identifier: F-LE.1.b
Grade Range:
7–12
Domain:
Linear, Quadratic, and Exponential Models
Discipline:
Math I
Conceptual Category:
Functions
Cluster:
Construct and compare linear, quadratic, and exponential models and solve problems. [Linear and exponential]
Standard:
Distinguish between situations that can be modeled with linear functions and with exponential functions. * Recognize situations in which one quantity changes at a constant rate per unit interval relative to another. *
Construct and compare linear, quadratic, and exponential models and solve problems. [Linear and exponential]
Standard:
Distinguish between situations that can be modeled with linear functions and with exponential functions. * Recognize situations in which one quantity changes at a constant rate per unit interval relative to another. *
Standard Identifier: F-LE.1.c
Grade Range:
7–12
Domain:
Linear, Quadratic, and Exponential Models
Discipline:
Math I
Conceptual Category:
Functions
Cluster:
Construct and compare linear, quadratic, and exponential models and solve problems. [Linear and exponential]
Standard:
Distinguish between situations that can be modeled with linear functions and with exponential functions. * Recognize situations in which a quantity grows or decays by a constant percent rate per unit interval relative to another. *
Construct and compare linear, quadratic, and exponential models and solve problems. [Linear and exponential]
Standard:
Distinguish between situations that can be modeled with linear functions and with exponential functions. * Recognize situations in which a quantity grows or decays by a constant percent rate per unit interval relative to another. *
Standard Identifier: F-LE.2
Grade Range:
7–12
Domain:
Linear, Quadratic, and Exponential Models
Discipline:
Math I
Conceptual Category:
Functions
Cluster:
Construct and compare linear, quadratic, and exponential models and solve problems. [Linear and exponential]
Standard:
Construct linear and exponential functions, including arithmetic and geometric sequences, given a graph, a description of a relationship, or two input-output pairs (include reading these from a table). *
Construct and compare linear, quadratic, and exponential models and solve problems. [Linear and exponential]
Standard:
Construct linear and exponential functions, including arithmetic and geometric sequences, given a graph, a description of a relationship, or two input-output pairs (include reading these from a table). *
Standard Identifier: F-LE.3
Grade Range:
7–12
Domain:
Linear, Quadratic, and Exponential Models
Discipline:
Math I
Conceptual Category:
Functions
Cluster:
Construct and compare linear, quadratic, and exponential models and solve problems. [Linear and exponential]
Standard:
Observe using graphs and tables that a quantity increasing exponentially eventually exceeds a quantity increasing linearly, quadratically, or (more generally) as a polynomial function. *
Construct and compare linear, quadratic, and exponential models and solve problems. [Linear and exponential]
Standard:
Observe using graphs and tables that a quantity increasing exponentially eventually exceeds a quantity increasing linearly, quadratically, or (more generally) as a polynomial function. *
Standard Identifier: F-LE.5
Grade Range:
7–12
Domain:
Linear, Quadratic, and Exponential Models
Discipline:
Math I
Conceptual Category:
Functions
Cluster:
Interpret expressions for functions in terms of the situation they model. [Linear and exponential of form f(x) = b^x + k]
Standard:
Interpret the parameters in a linear or exponential function in terms of a context. *
Interpret expressions for functions in terms of the situation they model. [Linear and exponential of form f(x) = b^x + k]
Standard:
Interpret the parameters in a linear or exponential function in terms of a context. *
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.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.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. *
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 1 - 10 of 68 Standards
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