4 ms·

Might just be tired but I don't get this...care to explain?

• HelloMcFly 13y ago
  If 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 ago
  In 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 ago
    Last line is the Best Example Ever of median and mean not agreeing. Did you come up with it yourself?