Mathematics Standards
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Geometric Measurement and Dimension
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Interpreting Categorical and Quantitative Data
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Interpreting Functions
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Statistics and Probability
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The Real Number System
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Showing 61 - 70 of 123 Standards
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: 8.SP.1
Grade:
8
Domain:
Statistics and Probability
Cluster:
Investigate patterns of association in bivariate data.
Standard:
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
Investigate patterns of association in bivariate data.
Standard:
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
Standard Identifier: 8.SP.2
Grade:
8
Domain:
Statistics and Probability
Cluster:
Investigate patterns of association in bivariate data.
Standard:
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
Investigate patterns of association in bivariate data.
Standard:
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
Standard Identifier: 8.SP.3
Grade:
8
Domain:
Statistics and Probability
Cluster:
Investigate patterns of association in bivariate data.
Standard:
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. For example, in a linear model for a biology experiment, interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1.5 cm in mature plant height.
Investigate patterns of association in bivariate data.
Standard:
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. For example, in a linear model for a biology experiment, interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1.5 cm in mature plant height.
Standard Identifier: 8.SP.4
Grade:
8
Domain:
Statistics and Probability
Cluster:
Investigate patterns of association in bivariate data.
Standard:
Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables. For example, collect data from students in your class on whether or not they have a curfew on school nights and whether or not they have assigned chores at home. Is there evidence that those who have a curfew also tend to have chores?
Investigate patterns of association in bivariate data.
Standard:
Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables. For example, collect data from students in your class on whether or not they have a curfew on school nights and whether or not they have assigned chores at home. Is there evidence that those who have a curfew also tend to have chores?
Standard Identifier: F-IF.4
Grade Range:
8–12
Domain:
Interpreting Functions
Discipline:
Math II
Conceptual Category:
Functions
Cluster:
Interpret functions that arise in applications in terms of the context. [Quadratic]
Standard:
For a function that models a relationship between two quantities, interpret key features of graphs and tables in terms of the quantities, and sketch graphs showing key features given a verbal description of the relationship. Key features include: intercepts; intervals where the function is increasing, decreasing, positive, or negative; relative maximums and minimums; symmetries; end behavior; and periodicity. *
Interpret functions that arise in applications in terms of the context. [Quadratic]
Standard:
For a function that models a relationship between two quantities, interpret key features of graphs and tables in terms of the quantities, and sketch graphs showing key features given a verbal description of the relationship. Key features include: intercepts; intervals where the function is increasing, decreasing, positive, or negative; relative maximums and minimums; symmetries; end behavior; and periodicity. *
Standard Identifier: F-IF.5
Grade Range:
8–12
Domain:
Interpreting Functions
Discipline:
Math II
Conceptual Category:
Functions
Cluster:
Interpret functions that arise in applications in terms of the context. [Quadratic]
Standard:
Relate the domain of a function to its graph and, where applicable, to the quantitative relationship it describes. *
Interpret functions that arise in applications in terms of the context. [Quadratic]
Standard:
Relate the domain of a function to its graph and, where applicable, to the quantitative relationship it describes. *
Standard Identifier: F-IF.6
Grade Range:
8–12
Domain:
Interpreting Functions
Discipline:
Math II
Conceptual Category:
Functions
Cluster:
Interpret functions that arise in applications in terms of the context. [Quadratic]
Standard:
Calculate and interpret the average rate of change of a function (presented symbolically or as a table) over a specified interval. Estimate the rate of change from a graph. *
Interpret functions that arise in applications in terms of the context. [Quadratic]
Standard:
Calculate and interpret the average rate of change of a function (presented symbolically or as a table) over a specified interval. Estimate the rate of change from a graph. *
Showing 61 - 70 of 123 Standards
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