Mathematics (2019) Grade(s): 8 - Grade 8 Accelerated

MA19.8A.34

Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities, describing patterns in terms of positive, negative, or no association, linear and non- linear association, clustering, and outliers. [Grade 8, 18]

Unpacked Content

Knowledge

Students know:
  • Representations for bivariate data and techniques for constructing each (e.g., tables, scatter plots).

Skills

Students are able to:
  • Construct a scatter plot to represent a set of bivariate data.
  • Use mathematical vocabulary to describe and interpret patterns in bivariate data.

Understanding

Students understand that:
  • Using different representations and descriptors of a data set can be useful in seeing important features of the situation being investigated.
  • Negative association in bivariate data can be a very strong association but is an inverse relationship.

Vocabulary

  • Scatter plots
  • Bivariate measurement data
  • Clustering
  • Outliers
  • Positive and negative association
  • No association
  • Linear and nonlinear association
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