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In the method above you only care about “labels” or “units”, not values.
This is why you commonly see standard deviation (the square root of variance) given in addition to averages and similar as the units are the same making comparison easier.
The hint states that “Somebody who is 80 inches tall is above the average height of both datasets.” Looking at the histogram, I see that 80 inch is way to the right of the OkCupid group so it cannot be the mean. But it is at the centre of the NBA dataset, so it is close to the mean of that group. Correct me if I’m wrong.
Like the hint of the question puts it, it’s hard to understand this (that’s why we are going to learn about standard deviation, which will have the same unit (inch not inches squared) as the mean).
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