For a given distribution of marks, the mean is 35.16 and its standard deviation is 19.76. The coefficient of variation is

For a given distribution of marks, mean is 35.16 and its standard deviation is 19.76. The coefficient of variation is :

For a given distribution of marks mean is 35.16 and its standard deviation is 19.76. The coefficient of variation is :

The standard deviation (sigma) of variate x is the square root of the A.M. of the squares of all deviations of x from the A.M. observations. If x_i//f_i , i=1,2,… n is a frequency distribution then sigma=sqrt(1/N Sigma_(i=1)^(n) f_i(x_i-barx)^2), N=Sigma_(i=1)^(n) f_i and variance is the square of standard deviation. Coefficient of dispersion is sigma/x and coefficient of variation is sigma/x xx 100 For a given distribution of marks mean is 35.16 and its standard deviation is 19.76 then coefficient of variation is

The standard deviation (sigma) of variate x is the square root of the A.M. of the squares of all deviations of x from the A.M. observations. If x_i//f_i , i=1,2,… n is a frequency distribution then sigma=sqrt(1/N Sigma_(i=1)^(n) f_i(x_i-barx)^2), N=Sigma_(i=1)^(n) f_i and variance is the square of standard deviation. Coefficient of dispersion is sigma/x and coefficient of variation is sigma/x xx 100 For a given distribution of marks mean is 35.16 and its standard deviation is 19.76 then coefficient of variation is

Find out standard deviation and coefficient of variation .

Calculate the standard deviation and coefficient of variation .

For a Binomial Distribution, mean is 16 and standard deviation is 2, then q is