Now, consider a probability experiment in which two values, y[1] and y[2], are drawn at random, and independent of each other, from a population with mean 10 and variance 4.
Expected value of y[1] : E{y[1]} = 10, the mean of the population.
Variance of y[1] : Var{y[1]} = 4, the variance of the population.
Expected value of y[2] : E{y[2]} = 10, the mean of the population.
Variance of y[2] : Var{y[2]} = 4, the variance of the population.
If y[1] and y[2] are selected at random and independently of each other, there should be no covariance between them; Cov{y[1],y[2]} = 0.rmer or current colony