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Showing 11 - 16 of 16 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. *

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. *

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. *

Standard Identifier: N-CN.8

Grade Range: 9–12
Domain: The Complex Number System
Discipline: Math III
Conceptual Category: Number and Quantity

Cluster:
Use complex numbers in polynomial identities and equations. [Polynomials with real coefficients; apply N.CN.9 to higher degree polynomials.]

Standard:
(+) Extend polynomial identities to the complex numbers.

Standard Identifier: N-CN.9

Grade Range: 9–12
Domain: The Complex Number System
Discipline: Math III
Conceptual Category: Number and Quantity

Cluster:
Use complex numbers in polynomial identities and equations. [Polynomials with real coefficients; apply N.CN.9 to higher degree polynomials.]

Standard:
(+) Know the Fundamental Theorem of Algebra; show that it is true for quadratic polynomials.

Standard Identifier: S-ID.4

Grade Range: 9–12
Domain: Interpreting Categorical and Quantitative Data
Discipline: Math III
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. *

Showing 11 - 16 of 16 Standards


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