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MAFS.8.SP.1.1

Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
Subject Area: Mathematics
Domain-Subdomain: Statistics & Probability
Cluster: Level 2: Basic Application of Skills & Concepts
Cluster: Investigate patterns of association in bivariate data. (Supporting Cluster) -

Clusters should not be sorted from Major to Supporting and then taught in that order. To do so would strip the coherence of the mathematical ideas and miss the opportunity to enhance the major work of the grade with the supporting clusters.

Date of Last Rating: 02/14
Status: State Board Approved
Assessed: Yes

TEST ITEM SPECIFICATIONS

• Item Type(s): This benchmark may be assessed using: MC , MS item(s)

• Assessment Limits :

Numbers in items must be rational numbers.

• Calculator :

Neutral

• Context :

Allowable

SAMPLE TEST ITEMS (2)

• Test Item #: Sample Item 1
• Question:

A scatter plot is shown for bottled water sales and temperature.

Select all statements that correctly interpret the graph.

• Difficulty: N/A
• Type: MS: Multiselect