Your device is currently offline. You can view downloaded files in My Downloads.

Lesson Plan

Represent bivariate quantitative data by using a scatterplot

teaches Common Core State Standards CCSS.Math.Content.HSN-Q.A.1 http://corestandards.org/Math/Content/HSN/Q/A/1
teaches Common Core State Standards CCSS.Math.Practice.MP4 http://corestandards.org/Math/Practice/MP4
teaches Common Core State Standards CCSS.Math.Practice.MP6 http://corestandards.org/Math/Practice/MP6
teaches Common Core State Standards CCSS.Math.Content.HSS-ID.B.6 http://corestandards.org/Math/Content/HSS/ID/B/6
Quick Assign

You have saved this lesson!

Here's where you can access your saved items.

Dismiss

Card of

or to view additional materials

You'll gain access to interventions, extensions, task implementation guides, and more for this lesson.

Big Ideas: Bivariate quantitative data can be represented graphically by drawing a scatterplot. On a scatterplot, the explanatory variable goes on the x-axis and the response variable goes on the y-axis We describe a relationship between two quantitative variables by its form, direction, and strength. This lesson builds on students’ previous work in eighth grade with bivariate quantitative data. The task will ask students to individually place their hand in a bowl of candies and grab as many as they can. They will count the candies they’ve grabbed and measure their hand size, adding it to a classroom data set. Students will then use the classroom data set to identify the explanatory and response variables, construct a scatterplot, and determine the form, direction, and strength of the association. Vocabulary: quantitative, bivariate, explanatory variable (independent variable), response variable (dependent variable), scatterplot, form, direction, strength Special Materials: Large bowl/container 2-3 bags of candies (chewy chocolate taffy candies, square fruit-flavored soft taffy candies, or peppermints)
Provide feedback