The mean of the `n` observation `x_1, x_2, x_3, ,x_n` be ` x dot` Then the mean of `n` observations `2x+3,2x_2+3,2x_3+3,2x_n` is `3 x +2` b. `2 x +3` c. ` x +3` d. `2 x `

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 standard deviation of x_1, x_2,……x_n is 3.5, then the standard deviation of -2x_1, -3,-2x_2, -3, ……, -2x_n -3 is

If the mean of observations x_1,\ x_2,\ ddot,\ x_n is x , then the mean of x_1+a ,\ x_2+a ,\ ,\ x_n+a is (a) a x (b) x -a (c) x +a (d) ( x )/a

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

The geometric mean of the observation x_(1),x_(2),x_(3),……..,_(n) is G_(1) , The geometric mean of the observation y_(1),y_(2),y_(3),…..y_(n) is G_(2) . The geometric mean of observations (x_(1))/(y_(1)),(x_(2))/(y_(2)),(x_(3))/(y_(3)),……(x_(n))/(y_(n)) us

Mean deviation for n observation x_(1),x_(2),…..x_(n) from their mean bar x is given by

Mean of n observations x_1,x_2 ,…., x_n is barx . If an observation x_q is replaced by x'_q , then the new mean is :

If the mean of 2x, 2x + 3, 2x + 5, 2x + 7, 2x + 10 is 11, the mean of the last three observation is

If the standard deviation of x_(1),x_(2),...x_(n) is "3.5," then the standard deviation of -2x_(1)-3,-2x_(2)-3,......,-2x_(n)-3 is