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Showing 31 - 40 of 95 Standards

Standard Identifier: 7.RP.2.b

Grade: 7
Domain: Ratios and Proportional Relationships

Cluster:
Analyze proportional relationships and use them to solve real-world and mathematical problems.

Standard:
Recognize and represent proportional relationships between quantities. Identify the constant of proportionality (unit rate) in tables, graphs, equations, diagrams, and verbal descriptions of proportional relationships.

Standard Identifier: 7.RP.2.c

Grade: 7
Domain: Ratios and Proportional Relationships

Cluster:
Analyze proportional relationships and use them to solve real-world and mathematical problems.

Standard:
Recognize and represent proportional relationships between quantities. Represent proportional relationships by equations. For example, if total cost t is proportional to the number n of items purchased at a constant price p, the relationship between the total cost and the number of items can be expressed as t = pn.

Standard Identifier: 7.RP.2.d

Grade: 7
Domain: Ratios and Proportional Relationships

Cluster:
Analyze proportional relationships and use them to solve real-world and mathematical problems.

Standard:
Recognize and represent proportional relationships between quantities. Explain what a point (x, y) on the graph of a proportional relationship means in terms of the situation, with special attention to the points (0, 0) and (1, r) where r is the unit rate.

Standard Identifier: 7.RP.3

Grade: 7
Domain: Ratios and Proportional Relationships

Cluster:
Analyze proportional relationships and use them to solve real-world and mathematical problems.

Standard:
Use proportional relationships to solve multistep ratio and percent problems. Examples: simple interest, tax, markups and markdowns, gratuities and commissions, fees, percent increase and decrease, percent error.

Standard Identifier: S-ID.1

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 a single count or measurement variable.

Standard:
Represent data with plots on the real number line (dot plots, histograms, and box plots). *

Standard Identifier: S-ID.1

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 a single count or measurement variable.

Standard:
Represent data with plots on the real number line (dot plots, histograms, and box plots). *

Standard Identifier: S-ID.2

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 a single count or measurement variable.

Standard:
Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets. *

Standard Identifier: S-ID.2

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 a single count or measurement variable.

Standard:
Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets. *

Standard Identifier: S-ID.3

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 a single count or measurement variable.

Standard:
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers). *

Standard Identifier: S-ID.3

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 a single count or measurement variable.

Standard:
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers). *

Showing 31 - 40 of 95 Standards


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