In today's lesson, students will identify their own single variable data sets to describe. The warm up is designed to spark their curiosity about distributions so that they are inspired to choose an interesting data set.
I select a few data sets that students might be interested in and ask them to predict various aspects of the data set. For example, I might ask about the mean, standard deviation, or shape of the following distributions:
When possible, I show them the actual distributions and answer the questions I've asked. In other cases, we have to speculate (as in the ages of people in our town).
For today's activity, my students will work in mixed groups of 3 to identify quantitative data sets, compare them, and make a poster to explain their findings to their classmates. I choose the groups for this activity by thinking about who works well together and who needs support. I also try to assign at least one person with strong art skills to each group so that they can lead the creative process.
When students are seated with their groups, I invite one person from each group to visit the supply closet for small poster boards and markers and another student to get a laptop from the cart. While they get settled, I distribute One-Variable Data Activity, which has directions for the poster activity along with a scoring rubric.
Students will use most of the period to select, organize, and present their data. This activity is great for reinforcing MP2, MP4 and MP5 because students need to create a coherent representation of two data sets using technology and then interpret their results.
As students complete their posters, they pin them up on the bulletin board and return their supplies to the closet. When all groups have done this, we take a few minutes to debrief the process. We discuss challenging aspects of the process and look at the group's results. If any group of students wants a bit more time to finish their poster, they can take it home and submit it first thing in the morning.