Probability density function is a statistical expression defining the likelihood of a series of outcomes for a continuous variable, such as a stock or ETF return.

By using one of the common stock probability distribution methods of statistical calculations, an investor may determine the likelihood of profits from a holding.

You can use the RAND () function to establish probability and create a random variable with normal distribution.

Jensen gave a lower bound to Eρ (T), where ρ is a convex function of the random vector T. Madansky has obtained an upper bound via the theory of moment spaces of multivariate distributions. In ...