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 Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).

S-ID.A.3. Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).

  • Describing Data Sets with Outliers
  • Haircut Costs
  • Identifying Outliers
  • Measuring Variability in a Data Set
  • Speed Trap

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