Take a look at the infographic. What do you see? What do you think? What do you wonder?
In this lesson students compare NFL QB rating of quarterbacks with and without facial hair. This task can be used to explore a number of math ideas such as sampling, causation versus correlation, misleading data, measures of central tendency, variability and data visualization. Questions to consider:
- Is this enough data to definitively say that facial hair improves quarterback performance?
- How might we collect a stronger set of data?
- Does facial hair cause improved quarterback performance or is it a correlation?
- How can we collect data to show that facial hair reduces quarterback performance?
- Which measure of central tendency best represents the data?
- What type of graph or plot can be used to display the data?
The activity: Should_Quarterbacks_grow_facial_hair.pdf
For members we have an editable Word docx, an Excel sheet of the data and graph, and solutions.
Should_Quarterbacks_grow_facial_hair.docx Facial_Hair_Excel File.xlsx Should_Quarterbacks_grow_facial_hair__Solutions.pdf
CCSS: 6.SP.1, 6.SP.3, 6.SP.4, 7.SP.1, 7.SP.2, 7.SP.3, 7.SP.4, HSS.ID.A.2, HSS.ID.C.9