New posts in Random Variables

Tilted sum of independent random variables

Sum of identically distributed but not independent Bernoulli's is non-uniform

Show that random variables $X$ and $Y$ are not independent, but nevertheless Cov$[X,Y] = 0$

Projections of uniformly distributed $\mathbb{R}^3$ unit vector have uniform distribution

Expectation of product of independent random variables

Is there a *simple* example showing that uncorrelated random variables need not be independent?

The "true" domain of random variables

Expected absolute difference between two iid variables

Solution conflict: Expected number of distinct birthdays for $100$ people

Sum of random variables at least $\log n$