निम्नलिखित

The null hypothesis in ANOVA one-way classification, the study of the variances due to k different sources, is:

The probability density function of a random variable X is f(x) = ( π /10) sin ( π x /5) ; 0 ≤ x ≤ 5. The first quartile of X is:

For the variables X, Y and Z, rXY = 0.80, rXZ = 0.64, rY Z = 0.79 , then square of multiple correlation coefficient R² X.Y Z is:

If the multiple correlation coefficient of X1 on X2 and X3 is zero, then:

If the occurrence of events follows Poisson Process with mean rate λ, then inter-occurrence time of events will follow:

The mode of the given data set is 12. The sum of the frequency on both sides of mode are 16. The skewness:

If moment generating function of continuous random variable X is (λ /λ−t) ;t < λ, then E(X³) equals to: