MA19.8.18

Mathematics (2019) Grade(s): 8

MA19.8.18
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.

Unpacked Content

Knowledge

Students know:

representations for bivariate data and techniques for constructing each (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

Design by Adaptive Theme