If the mean of n observations `x_1,x_2,x_3...x_n` is `barx` then the sum of deviations of observations from mean is

If the mean of n observations x_(1),x_(2),x_(3)...x_(n) is bar(x) then the sum of deviations of observations from mean is

If the mean of observations x_1.x_2,x_3…..x_n is barx then the mean of x_1+a,x_2+a,…...x_n+a will be

If the mean and S.D. of n observations x_(1),x_(2)......x_(n) are x and ? resp,then the sum of squares of observations is

If the mean of a set of observations x_(1),x_(2), …,x_(n)" is " bar(X) , then the mean of the observations x_(i) +2i , i=1, 2, ..., n is

If the mean of a set of observations x_(1),x_(2), …,x_(n)" is " bar(X) , then the mean of the observations x_(i) +2i , i=1, 2, ..., n is

If the mean of a set of observations x_(1),x_(2), …,x_(n)" is " bar(X) , then the mean of the observations x_(i) +2i , i=1, 2, ..., n is

The mean of the n observation x_1, x_2,…, x_n be barx then the mean of n observations 2x_1+3, 2x_2+3,…,2x_n+3 is ______.

Given that bar x is the mean and sigma^2 is the variance of n observations x_1x_2 , ..., x_n . Prove that the mean and variance of the observations a x_1,a x_2 , a x_3,dotdotdot,a x_n are a bar x and a^2sigma^2 ,

The geometric mean of numbers observations x_1, x_2, x_3,….,x_n is