Mathematics Standards
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Showing 11 - 14 of 14 Standards
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.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.4
Grade Range:
9–12
Domain:
Interpreting Categorical and Quantitative Data
Discipline:
Algebra II
Conceptual Category:
Statistics and Probability
Cluster:
Summarize, represent, and interpret data on a single count or measurement variable.
Standard:
Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve. *
Summarize, represent, and interpret data on a single count or measurement variable.
Standard:
Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve. *
Showing 11 - 14 of 14 Standards
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