Mathematics Standards
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Conditional Probability and the Rules of Probability
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Interpreting Categorical and Quantitative Data
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Number and Operations in Base Ten
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Using Probability to Make Decisions
Results
Showing 51 - 60 of 113 Standards
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.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.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.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.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.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: 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-CP.1
Grade Range:
8–12
Domain:
Conditional Probability and the Rules of Probability
Discipline:
Geometry
Conceptual Category:
Statistics and Probability
Cluster:
Understand independence and conditional probability and use them to interpret data. [Link to data from simulations or experiments.]
Standard:
Describe events as subsets of a sample space (the set of outcomes) using characteristics (or categories) of the outcomes, or as unions, intersections, or complements of other events (“or,” “and,” “not”). *
Understand independence and conditional probability and use them to interpret data. [Link to data from simulations or experiments.]
Standard:
Describe events as subsets of a sample space (the set of outcomes) using characteristics (or categories) of the outcomes, or as unions, intersections, or complements of other events (“or,” “and,” “not”). *
Standard Identifier: S-CP.1
Grade Range:
8–12
Domain:
Conditional Probability and the Rules of Probability
Discipline:
Math II
Conceptual Category:
Statistics and Probability
Cluster:
Understand independence and conditional probability and use them to interpret data. [Link to data from simulations or experiments.]
Standard:
Describe events as subsets of a sample space (the set of outcomes) using characteristics (or categories) of the outcomes, or as unions, intersections, or complements of other events (“or,” “and,” “not”). *
Understand independence and conditional probability and use them to interpret data. [Link to data from simulations or experiments.]
Standard:
Describe events as subsets of a sample space (the set of outcomes) using characteristics (or categories) of the outcomes, or as unions, intersections, or complements of other events (“or,” “and,” “not”). *
Standard Identifier: S-CP.2
Grade Range:
8–12
Domain:
Conditional Probability and the Rules of Probability
Discipline:
Math II
Conceptual Category:
Statistics and Probability
Cluster:
Understand independence and conditional probability and use them to interpret data. [Link to data from simulations or experiments.]
Standard:
Understand that two events A and B are independent if the probability of A and B occurring together is the product of their probabilities, and use this characterization to determine if they are independent. *
Understand independence and conditional probability and use them to interpret data. [Link to data from simulations or experiments.]
Standard:
Understand that two events A and B are independent if the probability of A and B occurring together is the product of their probabilities, and use this characterization to determine if they are independent. *
Showing 51 - 60 of 113 Standards
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