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Your stats are true when outliers massively move a mean.. but that wouldn't be the case in a distribution like this one... I don't think. I mean it's more appro
by redwood 13y ago
Your stats are true when outliers massively move a mean.. but that wouldn't be the case in a distribution like this one... I don't think. I mean it's more appropriate to imagine a normal distribution here with the mean equal to the median because the measurement is totally subjective anyway.
- gizmo686 13y agoTheres a huge difference between something being statistically impossible, and something being statisticly impossible, assuming it is a normal distribution.
- bthomas 13y agoMight just be tired but I don't get this...care to explain?
- HelloMcFly 13y agoIf you assume a normal distribution, it is statistically impossible for more than 50% of people to consider themselves above the mean on a given metric. However, if the distribution is severely negatively skewed (i.e., the "bulge" of the distribution is moved to the left and there are many outliers below the mean) then more than 50% could be above the mean because the outliers on the left end of the distribution drag the mean down significantly.
- gizmo686 13y agoIn a normal distribution, the mean and median are the same value, so only 50% of the data points can be above average. Without this assumption, you are not guaranteed to have only 50% of your data points above average. For example, what percent of the population do you think has an above average number of legs?
- colomon 13y agoLast line is the Best Example Ever of median and mean not agreeing. Did you come up with it yourself?