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| ▲ | sethammons a day ago | parent [-] | | It is the same as wealth, or any dataset that has large data outliers on one side. Average and mean are the same: normal distribution. Average higher than mean: skewed by big outliers. Professional statistician affects the distribution of statistics knowledge like billionaires affect wealth distribution. | | |
| ▲ | defrost a day ago | parent [-] | | Congrats for having a shot, sadly that doesn't answer the questions posed in the slightest. Again, why does the GP assume that a full half are distinctly lower than "average understanding" ? Why the assumption that multiple numbers cannot share an average understanding? | | |
| ▲ | d1sxeyes 10 hours ago | parent [-] | | It was a joke, you are, of course, technically correct, there’s no requirement for the mean and median to be the same. | | |
| ▲ | defrost 10 hours ago | parent [-] | | Fair point, in my time zone it was late, I was crabby, and there was a surrounding context of "bad statistics" comments. That said, If the mean and median were the same your statement would still not be always true. For more than one reason. |
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