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11 standards · 3 domains

STATISTICS AND PROBABILITY - CONDITIONAL PROBABILITY AND THE RULES OF PROBABILITY

  • AII-S.CP.1 Describe events as subsets of a sample space (the set of outcomes) using characteristics (or categories) of the outcomes, or as unions, intersections, or complements of other events (“or,” “and,” “not”).
  • AII-S.CP.4 Interpret two-way frequency tables of data when two categories are associated with each object being classified. Use the two-way table as a sample space to decide if events are independent and calculate conditional probabilities.
  • AII-S.CP.7 Apply the Addition Rule, P(A or B) = P(A) + P(B) - P(A and B), and interpret the answer in terms of the model.

STATISTICS AND PROBABILITY - MAKING INFERENCES AND JUSTIFYING CONCLUSIONS

  • AII-S.IC.2 Determine if a value for a sample proportion or sample mean is likely to occur based on a given simulation.
  • AII-S.IC.3 Recognize the purposes of and differences among surveys, experiments, and observational studies. Explain how randomization relates to each.
  • AII-S.IC.4 Given a simulation model based on a sample proportion or mean, construct the 95% interval centered on the statistic (+/- two standard deviations) and determine if a suggested parameter is plausible.
  • AII-S.IC.6a Use the tools of statistics to draw conclusions from numerical summaries.
  • AII-S.IC.6b Use the language of statistics to critique claims from informational texts. For example, causation vs correlation, bias, measures of center and spread.

STATISTICS AND PROBABILITY - INTERPRETING CATEGORICAL AND QUANTITATIVE DATA

  • AII-S.ID.4a Recognize whether or not a normal curve is appropriate for a given data set.
  • AII-S.ID.4b If appropriate, determine population percentages using a graphing calculator for an appropriate normal curve.
  • AII-S.ID.6.a Fit a function to real-world data; use functions fitted to data to solve problems in the context of the data. (Shared standard with Algebra I)

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