Answer:
variance.
Step-by-step explanation:
The standard deviation is denote by S.D. or [tex]\sigma[/tex] and it measures how spread the data is?
The relation between standard deviation and variance is " The square root of variance is standard deviation"
[tex]\sigma=\sqrt{Variance}[/tex]
Squaring both sides
[tex]\sigma^2=Variance[/tex]
Hence, when we square S.D then we'll get variance.