Let Sn^2 denote the variance of a random sample of size n from a distribution that is n(μ, σ^2) . It has been proved that n Sn^2 /(n-1) converges stochastically to σ^2. Prove that Sn^2 converges stochastically to σ^2. | Numerade

First US lunar lander since Apollo 17 launches for the moon in Peregrine 1 mission

Historic programme aims to send humans back to the lunar surface for the first time in 50 years.