Means
Mean is a balance point: sum of the distances from the mean of the data less than the mean
equals the sum of the distances from the mean of the data more than the mean:
Σ|xj-x̄|
where xj<x̄ =
Σ|xk-x̄|
where xk>x̄;
I.e. the sum of the reds' distances from μ equals the sum of the greens' distances from μ.
If the data "bars" were equal weight, the beam would balance at the mean.
Σ|xj-x̄| = 285
Σ|xk-x̄| = 285
Σ|xj-x̄| ≈ 98
Σ|xk-x̄| ≈ 98
2D data:
