This is a fun question perfect for that first or second chapter of every intro stats text. The part with data distributions. And it works for either the 1) beginning of the Fall semester and, therefore, football season or 2) the beginning of the Spring semester and, therefore, the lead-up to the Superbowl.
Anyway, Ben Jones tweeted a few bar chart distributions that illustrate different descriptive statistics for NFL players.
He, kindly, provided the answers to his quiz.
How to use it in class:
1) Bar graphs!
2) Data distributions and asking your students to logic their way through the correct answers...it makes sense that the data is skewed young. Also, it might surprise students that very high earners in the NFL are outliers among their peers.
3) Distribution shapes: Bimodal because of linebackers. Skewed because NFL players run young and have short careers. Normal data for height because even with the higher-than-average average, it is still normal.
4) Descriptive statistics are presented as averages in the first Tweet. Is mean the best way to describe this data, especially the skewed data? Why or why not?
Anyway, Ben Jones tweeted a few bar chart distributions that illustrate different descriptive statistics for NFL players.
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| https://twitter.com/DataRemixed/status/1022553248375304193 |
How to use it in class:
1) Bar graphs!
2) Data distributions and asking your students to logic their way through the correct answers...it makes sense that the data is skewed young. Also, it might surprise students that very high earners in the NFL are outliers among their peers.
3) Distribution shapes: Bimodal because of linebackers. Skewed because NFL players run young and have short careers. Normal data for height because even with the higher-than-average average, it is still normal.
4) Descriptive statistics are presented as averages in the first Tweet. Is mean the best way to describe this data, especially the skewed data? Why or why not?