High School Statistics and Probability
Domain Interpreting Categorical and Quantitative Data
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.

S-ID.A.2. 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.

  • Haircut Costs
  • Measuring Variability in a Data Set
  • Speed Trap
  • Understanding the Standard Deviation

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