What do $\left(S_{X}^{2}\right)$ , $\left(s_{X}^{2}\right)$ , and $\left(\sigma_{X}^{2}\right)$ have in common?
A)All are forms of standardized variance.
B)All are forms of standard deviation.
C)All are forms of variance.
D)All represent the location of a set of scores.

Question

Quizplus · Accepted Answer

All three symbols represent forms of variance. $S_{X}^{2}$ typically denotes the sample variance, $\sigma_{X}^{2}$ denotes the population variance, and $s_{X}^{2}$ is another notation for sample variance. Variance measures the dispersion of a set of data points.

What Do (SX2)\left(S_{X}^{2}\right)(SX2​) (sX2)\left(s_{X}^{2}\right)(sX2​) , And (σX2)\left(\sigma_{X}^{2}\right)(σX2​) Have in Common? A)All Are Forms of Standardized Variance

What Do $\left(S_{X}^{2}\right)$ $\left(s_{X}^{2}\right)$ , And $\left(\sigma_{X}^{2}\right)$ Have in Common?
A)All Are Forms of Standardized Variance