This lesson was introduced to my class by Chi Nwogu of the UNC-Chapel Hill Kenan-Flagler Business School. He facilitated a workshop that uses basketball to introduce students to how data is collected and how we make observations based on the data we collect. I have been asked several times, "When do you have time to let someone else conduct extra lessons while still keeping up with the curriculum?" At my school we have a leadership hour called "Connections" where we take one hour a week for enrichment or remediation within our homerooms, and this is where Chi comes in. Bringing in a professional from the community to teach and discuss data/statistics, and making it interesting at the same time was major! Below you will see the lesson plan from Chi Nwogu, there are videos attached as well.
The standards he associated his lessons are the following:
Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability.
Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations.
Engaging the students with a discussion on sports and how Chi's experiences brought him to the world of data and statistics. The students used their previous knowledge of the measures of central tendency to complete the first assignment.
The students are gathering data from a previous NBA game. The attention to detail by the students was unbelievable.
The students were pinpointing how many shots were taken from the 3-point line by a particular player. At the end of the seminar, the students were evaluated by Chi and received positive feedback.