Whats is the meaning of "pq"? When we are talkng about a binomial distribution
I can understand the meaning of np (that it is the mean), cause we assign a "absolute value", for what it is a "relative value", (the probability of succes, 0 to 1.00)
but when we are referring to the equation of variance
npq = variance.
Is there a way to interpret "pq", in the same way that we can interpet, "np"?

The sum of n Bernoulli(p) random variables is a binomial(n, p) random variable.
$p \cdot q = p \cdot (1-p)$ the variance of a Bernoulli random variable with a mean of p. Variance is a measure of dispersion, meaning it is a measure of how far a set of numbers is spread out from their average value. It is maximized when $p=q = \frac{1}{2}$, so failure and success are equally likely:

