Variance and Standard Deviation

Indication in a way that variance of y-variable is explained by x-variable is shown as

Find the standard deviation of $8,12,13,15,22$.

The standard deviation for the set of numbers $1,4,5,7,8$, is $2.45$ nearly. If $10$ is added to each number then new standard deviation is

The standard deviation of $1$ to $9$ natural numbers is ____________

The mean and coefficient of variation of the marks of $n$ students is $20$ and $80$ respectively. Find the value of variance of them.

The standard deviation of $24$ observations is $\sqrt{6}$. If each observation is multiplied by $2$, find the standard deviation of the resulting observations.

The standard deviation of $20$ observations is $\sqrt{5}$. If each observation is multiplied by $2$, find the standard deviation of the resulting observations.

Least value of standard deviation is

Standard deviation can never be 

Measure of deviations of individual values from the mean can never be

Variance can't be 

The relation between variance and standard deviation is

The correct relationship between variance and the standard deviation is? 

Which of the following statement is true?

If there are $20$ values each equal to $20$, then find standard deviation (S.D) of these  values is :

The variance of $1, 2, 3, 4, 5,..., 10$ is $\frac{99}{12}$, then the standard derivation of $3, 6, 9, 12,..., 30$ is

Find standard deviation for the given numbers $-\mathrm{1,} 0, 1, k$ is $\sqrt{5}$ where $k>0,$ then $k$ is equal to

If in Binomial distribution $np=9$ and $npq=2.25$ then $q$ is equal to

The mean of binomial distribution is

Variance may be positive, negative or zero.