Includes Standard Clusters:

• Summarize, represent, and interpret data on a single count or measurement variable.
• Summarize, represent, and interpret data on two categorical and quantitative variables.
• Interpret linear models.

## Collection Contents

### Cluster - Summarize, represent, and interpret data on a single count or measurement variable.

by Allen Wolmer

In grades 6 – 8, students describe center and spread in a data distribution. Here they choose a summary statistic appropriate to the characteristics of the data distribution, such as the shape of the distribution or the existence of extreme data points.
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### Cluster - Summarize, represent, and interpret data on two categorical and quantitative variables

by Allen Wolmer

Students take a more sophisticated look at using a linear function to model the relationship between two numerical variables. In addition to how well the model fits by analyzing residuals. S.ID.6b should be focused on linear models, but may be used to previewquadratic functions in Unit 5 of thiscourse.
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### Cluster - Interpret linear models.

by Allen Wolmer

Build on students’ work with linear relationships in eighth grade and introduce the correlation coefficient. The focus here is on the computation and interpretation of the correlation coefficient as a measure of how well the data fit the relationship. The important distinction between a statistical relationship and a causeand-effect relationship arises in S.ID.9.
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