Answer:
C. 0.5
Explanation:
We know that the relation between Standard Deviation and Variance is given by,
Standard Deviation = √(Variance)
Thus,
A. When Variance = 2.5,⇒ Standard Deviation = 1.58
B. When Variance = 1.75,⇒ Standard Deviation = 1.32
C. When Variance = 0.5,⇒ Standard Deviation = 0.71
D. When Variance = 1.25,⇒ Standard Deviation = 1.12
Hence Variance which has greater Standard deviation is Option C.
Further,
Standard Deviation is the square root of sum of square of the distance of observation from the mean.
where,
is mean of the distribution.
And, Variance is the square of the Standard deviation.