The given statement " The relationship between the variance and the standard deviation is such that the standard deviation is the positive square root of the variance " is TRUE
Step-by-step explanation:
The standard variation is the square root of the variance. The normal deviation is measured in almost the same units as the norm, while the variance is measured in square units, but you could use anything as long as the knowledge about a distribution is valid.
For example,
a Normal distribution with mean = 10 and sd = 3 is exactly the same thing as a Normal distribution with mean = 10 and variance = 9.