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Skills available for Florida high school math standards

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912.A Algebra

912.F Functions

912.G Geometry

912.N Number and Quantity

912.S Statistics and Probability

  • 912.S-CP Conditional Probability and the Rules of Probability

  • 912.S-ID Interpreting Categorical and Quantitative Data

    • 912.S-ID.1 Summarize, represent, and interpret data on a single count or measurement variable

    • 912.S-ID.2 Summarize, represent, and interpret data on two categorical and quantitative variables

      • 912.S-ID.2.5 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.

      • 912.S-ID.2.6 Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

    • 912.S-ID.3 Interpret linear models

      • 912.S-ID.3.7 Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.

      • 912.S-ID.3.8 Compute (using technology) and interpret the correlation coefficient of a linear fit.

      • 912.S-ID.3.9 Distinguish between correlation and causation.

  • 912.S-IC Making Inferences and Justifying Conclusions

    • 912.S-IC.1 Understand and evaluate random processes underlying statistical experiments

    • 912.S-IC.2 Make inferences and justify conclusions from sample surveys, experiments, and observational studies

      • 912.S-IC.2.3 Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.

      • 912.S-IC.2.4 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.

      • 912.S-IC.2.5 Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.

      • 912.S-IC.2.6 Evaluate reports based on data.

  • 912.S-MD Using Probability to Make Decisions

    • 912.S-MD.1 Calculate expected values and use them to solve problems

      • 912.S-MD.1.1 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.

      • 912.S-MD.1.2 Calculate the expected value of a random variable; interpret it as the mean of the probability distribution.

      • 912.S-MD.1.3 Develop a probability distribution for a random variable defined for a sample space in which theoretical probabilities can be calculated; find the expected value.

      • 912.S-MD.1.4 Develop a probability distribution for a random variable defined for a sample space in which probabilities are assigned empirically; find the expected value.

    • 912.S-MD.2 Use probability to evaluate outcomes of decisions

      • 912.S-MD.2.5 Weigh the possible outcomes of a decision by assigning probabilities to payoff values and finding expected values.

        • 912.S-MD.2.5.a Find the expected payoff for a game of chance.

        • 912.S-MD.2.5.b Evaluate and compare strategies on the basis of expected values.

      • 912.S-MD.2.6 Use probabilities to make fair decisions (e.g., drawing by lots, using a random number generator).

      • 912.S-MD.2.7 Analyze decisions and strategies using probability concepts (e.g., product testing, medical testing, pulling a hockey goalie at the end of a game).