The expression $\Sigma \left( X _ { i } - \bar { X } \right) ^ { 2 }$
Instructs us to
A)square the sum of the scores.
B)sum the squared scores.
C)sum the squared deviations.
D)square the summed deviations.

Question

Quizplus · Accepted Answer

The expression asks us to sum the squared deviations, which is given by the formula for variance in statistics. The squared deviation is calculated by subtracting the mean from each data point, squaring the difference, and adding up the squared differences. Therefore, the correct choice is C.

The Expression Σ(Xi−Xˉ)2\Sigma \left( X _ { i } - \bar { X } \right) ^ { 2 }Σ(Xi​−Xˉ)2

The Expression $\Sigma \left( X _ { i } - \bar { X } \right) ^ { 2 }$