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Skills available for North Carolina high school math standards

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CCSS.Math.Content.HSN Number and Quantity

CCSS.Math.Content.HSA Algebra

CCSS.Math.Content.HSF Functions

CCSS.Math.Content.HSG Geometry

CCSS.Math.Content.HSS Statistics and Probability

  • CCSS.Math.Content.HSS-ID Interpreting Categorical and Quantitative Data

    • CCSS.Math.Content.HSS-ID Summarize, represent, and interpret data on a single count or measurement variable

    • CCSS.Math.Content.HSS-ID Summarize, represent, and interpret data on two categorical and quantitative variables

      • CCSS.Math.Content.HSS-ID.B.5 Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.

      • CCSS.Math.Content.HSS-ID.B.6 Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

    • CCSS.Math.Content.HSS-ID Interpret linear models

      • CCSS.Math.Content.HSS-ID.C.7 Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.

      • CCSS.Math.Content.HSS-ID.C.8 Compute (using technology) and interpret the correlation coefficient of a linear fit.

      • CCSS.Math.Content.HSS-ID.C.9 Distinguish between correlation and causation.

  • CCSS.Math.Content.HSS-IC Making Inferences and Justifying Conclusions

    • CCSS.Math.Content.HSS-IC Understand and evaluate random processes underlying statistical experiments

    • CCSS.Math.Content.HSS-IC Make inferences and justify conclusions from sample surveys, experiments, and observational studies

      • CCSS.Math.Content.HSS-IC.B.3 Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.

      • CCSS.Math.Content.HSS-IC.B.4 Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.

      • CCSS.Math.Content.HSS-IC.B.5 Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.

      • CCSS.Math.Content.HSS-IC.B.6 Evaluate reports based on data.

  • CCSS.Math.Content.HSS-CP Conditional Probability and the Rules of Probability

  • CCSS.Math.Content.HSS-MD Using Probability to Make Decisions

    • CCSS.Math.Content.HSS-MD Calculate expected values and use them to solve problems

      • CCSS.Math.Content.HSS-MD.A.1 Define a random variable for a quantity of interest by assigning a numerical value to each event in a sample space; graph the corresponding probability distribution using the same graphical displays as for data distributions.

      • CCSS.Math.Content.HSS-MD.A.2 Calculate the expected value of a random variable; interpret it as the mean of the probability distribution.

      • CCSS.Math.Content.HSS-MD.A.3 Develop a probability distribution for a random variable defined for a sample space in which theoretical probabilities can be calculated; find the expected value.

      • CCSS.Math.Content.HSS-MD.A.4 Develop a probability distribution for a random variable defined for a sample space in which probabilities are assigned empirically; find the expected value.

    • CCSS.Math.Content.HSS-MD Use probability to evaluate outcomes of decisions

      • CCSS.Math.Content.HSS-MD.B.5 Weigh the possible outcomes of a decision by assigning probabilities to payoff values and finding expected values.

        • CCSS.Math.Content.HSS-MD.B.5a Find the expected payoff for a game of chance.

        • CCSS.Math.Content.HSS-MD.B.5b Evaluate and compare strategies on the basis of expected values.

      • CCSS.Math.Content.HSS-MD.B.6 Use probabilities to make fair decisions (e.g., drawing by lots, using a random number generator).

      • CCSS.Math.Content.HSS-MD.B.7 Analyze decisions and strategies using probability concepts (e.g., product testing, medical testing, pulling a hockey goalie at the end of a game).

Common Core State Standards © Copyright 2010. National Governors Association Center for Best Practices and Council of Chief State School Officers. All rights reserved.