Show that the mean ‾X of a random sample of size n from a distribution having pdf f(x; θ) = (1/θ)e^−(x/θ), 0 < x < ∞, 0 < θ < ∞, zero elsewhere, is an unbiased estimator of θ and has variance θ²/n.