image source: https://pixabay.com/photo-311817/
Super Bowl LI happened on Sunday, February 5. Whether you’re a football fan or not, it’s interesting to look at the event’s history. This Math Minute post has you predicting, collecting, and displaying some data related to the Super Bowl.
How can you spend your Math Minutes?
- Make some predictions. Without looking online for the answers, predict how much a 30 second ad cost to run during the Super Bowl in the following years: 1967, 1977, 1987, 1997, 2007, 2017. Record these predictions on a sheet of paper. Next to your predictions, use this site to record the actual cost for those years.
- Create a pictograph. Pick 5 NFL teams and write those on the x-axis of your graph. Using this site, record how many Super Bowls each team played in. Use a helmet, a football, or some other picture to display the data. Make sure to include a key for your graph (i.e. 1 football = 1 Super Bowl). Give your completed graph to the EY coordinator at your building and we may showcase it on the EY blog!
- Create a scatter plot of the data on this site. Use the x-axis to represent the year and the y-axis to represent the cost of a 30 second ad. There are several tools you can use to make your graph including Numbers (app on the iPad), Create A Graph website, Scatter Plot Tool, and others. Share your completed graph with the EY Coordinator at your building.
- Choose any other data related to the Super Bowl to analyze. Some ideas include ages of players, points scored, salaries of players, etc. This article talks about the data, analytics, and probabilities associated with the Super Bowl.