Mean Deviation (माध्य विचलन)|Variance (प्रसरण)|Standard Deviation (मानक विचलन)|Combined Standard Deviation (संयुक्त मानक विचलन)|Covariance (सह प्रसरण)|Correlation Coeffiecient (सहसंबंध गुणांक)|Regression Coefficient (प्रतिगमन गुणांक)|OMR

Measures Of Dispersion|Questions|Limitations Of Mean Deviation|Variance|Standard Deviation|Questions|OMR

Measures Of Dispersion|Questions|Limitations Of Mean Deviation|Variance|Standard Deviation|Questions|OMR

OMR|Another Formula For Standard Deviation|Coefficient Of Variation|Comparison Of Two Frequency Distributions With Same Mean|Questions

OMR|Another Formula For Standard Deviation|Coefficient Of Variation|Comparison Of Two Frequency Distributions With Same Mean|Questions

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

Coefficient of correlation between two variable X and Y is 0.32. Their covariance is 7.86. The variance of X is 10. Find the standard deviation of Y-series.