In this section, students look at organizing data from two variables. They interpret and create scatter plots to visualize numerical data and look for basic trends.

A scatterplot with 20 data points. The horizontal axis is labeled “weight, in kilograms” and the numbers 1,000 through 2,500, in increments of 250, are indicated. The vertical axis is labeled “fuel efficiency, in...

In this section, students turn their attention to bivariate categorical data. They interpret two-way tables and turn them into tables showing relative frequencies. They informally determine whether the relative frequencies suggest an association between the categorical variables by comparing the percentages within different categories.

In this final section, students have the opportunity to apply their thinking from throughout the unit. As this is a short section followed by an End-of-Unit Assessment, there are no section goals or checkpoint questions.

The lesson in this section is optional because it offers additional opportunities to practice standards that are not a focus of the grade.

In this section, students look more closely at associations between variables using scatter plots. They informally assess the fitness of linear models, attempt to draw their own linear models, and interpret slope of a linear model in context of the data. They also work to recognize other patterns in a scatter plot, such as clustering, outliers, and non-linearity.