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8 standards · 1 domains

STATISTICS AND PROBABILITY - INTERPRETING CATEGORICAL AND QUANTITATIVE DATA

  • AI-S.ID.1 Represent data with plots on the real number line (dot plots, histograms, and box plots).
  • AI-S.ID.2 Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (inter-quartile range, sample standard deviation) of two or more different data sets.
  • AI-S.ID.3 Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
  • AI-S.ID.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.
  • AI-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 II)
  • AI-S.ID.7 Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.
  • AI-S.ID.8 Calculate (using technology) and interpret the correlation coefficient of a linear fit.
  • AI-S.ID.9 Distinguish between correlation and causation.

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