The examples where similar averages are associated with very different distributions include examination results for students, account management commission and the number of goals scored by teams.
It should be noted that average simply means the mean of a given set of numbers that are given in a data.
In this case, the examples where similar averages are associated with very different distributions include examination results for students, account management commission and the number of goals scored by teams
Let's use examination results to butress our point. A good average examination results mean that the students have a good understanding of what was covered in the subject.
Let's say the average pass mark for a subject is 50. In this situation, someone who scores 50 and above is believed to understand the subject and has a pass mark.
On the other hand, someone who scores 49.8 is considered to have failed the class even though the score is identical. This shows the case of variability and how similar average can mean different things.
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