Mathematics Standards
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Expressing Geometric Properties with Equations
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Interpreting Categorical and Quantitative Data
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Interpreting Functions
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Quantities
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Reasoning with Equations and Inequalities
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Showing 61 - 70 of 126 Standards
Standard Identifier: S-ID.6.b
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:
Represent data on two quantitative variables on a scatter plot, and describe how the variables are related. * Informally assess the fit of a function by plotting and analyzing residuals. *
Summarize, represent, and interpret data on two categorical and quantitative variables. [Linear focus; discuss general principle.]
Standard:
Represent data on two quantitative variables on a scatter plot, and describe how the variables are related. * Informally assess the fit of a function by plotting and analyzing residuals. *
Standard Identifier: S-ID.6.c
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:
Represent data on two quantitative variables on a scatter plot, and describe how the variables are related. * Fit a linear function for a scatter plot that suggests a linear association. *
Summarize, represent, and interpret data on two categorical and quantitative variables. [Linear focus; discuss general principle.]
Standard:
Represent data on two quantitative variables on a scatter plot, and describe how the variables are related. * Fit a linear function for a scatter plot that suggests a linear association. *
Standard Identifier: S-ID.6.c
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:
Represent data on two quantitative variables on a scatter plot, and describe how the variables are related. * Fit a linear function for a scatter plot that suggests a linear association. *
Summarize, represent, and interpret data on two categorical and quantitative variables. [Linear focus; discuss general principle.]
Standard:
Represent data on two quantitative variables on a scatter plot, and describe how the variables are related. * Fit a linear function for a scatter plot that suggests a linear association. *
Standard Identifier: S-ID.7
Grade Range:
7–12
Domain:
Interpreting Categorical and Quantitative Data
Discipline:
Algebra I
Conceptual Category:
Statistics and Probability
Cluster:
Interpret linear models.
Standard:
Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data. *
Interpret linear models.
Standard:
Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data. *
Standard Identifier: S-ID.7
Grade Range:
7–12
Domain:
Interpreting Categorical and Quantitative Data
Discipline:
Math I
Conceptual Category:
Statistics and Probability
Cluster:
Interpret linear models.
Standard:
Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data. *
Interpret linear models.
Standard:
Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data. *
Standard Identifier: S-ID.8
Grade Range:
7–12
Domain:
Interpreting Categorical and Quantitative Data
Discipline:
Math I
Conceptual Category:
Statistics and Probability
Cluster:
Interpret linear models.
Standard:
Compute (using technology) and interpret the correlation coefficient of a linear fit. *
Interpret linear models.
Standard:
Compute (using technology) and interpret the correlation coefficient of a linear fit. *
Standard Identifier: S-ID.8
Grade Range:
7–12
Domain:
Interpreting Categorical and Quantitative Data
Discipline:
Algebra I
Conceptual Category:
Statistics and Probability
Cluster:
Interpret linear models.
Standard:
Compute (using technology) and interpret the correlation coefficient of a linear fit. *
Interpret linear models.
Standard:
Compute (using technology) and interpret the correlation coefficient of a linear fit. *
Standard Identifier: S-ID.9
Grade Range:
7–12
Domain:
Interpreting Categorical and Quantitative Data
Discipline:
Algebra I
Conceptual Category:
Statistics and Probability
Cluster:
Interpret linear models.
Standard:
Distinguish between correlation and causation. *
Interpret linear models.
Standard:
Distinguish between correlation and causation. *
Standard Identifier: S-ID.9
Grade Range:
7–12
Domain:
Interpreting Categorical and Quantitative Data
Discipline:
Math I
Conceptual Category:
Statistics and Probability
Cluster:
Interpret linear models.
Standard:
Distinguish between correlation and causation. *
Interpret linear models.
Standard:
Distinguish between correlation and causation. *
Standard Identifier: A-REI.4.a
Grade Range:
8–12
Domain:
Reasoning with Equations and Inequalities
Discipline:
Math II
Conceptual Category:
Algebra
Cluster:
Solve equations and inequalities in one variable. [Quadratics with real coefficients]
Standard:
Solve quadratic equations in one variable. Use the method of completing the square to transform any quadratic equation in x into an equation of the form (x – p)^2 = q that has the same solutions. Derive the quadratic formula from this form.
Solve equations and inequalities in one variable. [Quadratics with real coefficients]
Standard:
Solve quadratic equations in one variable. Use the method of completing the square to transform any quadratic equation in x into an equation of the form (x – p)^2 = q that has the same solutions. Derive the quadratic formula from this form.
Showing 61 - 70 of 126 Standards
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