A random variable Y is said to have a lognormal distribution if log Y has a normal

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A random variable Y is said to have a lognormal distribution if log Y has a normal distribution. Equivalently, we can write Y = eX, where X has a normal distribution.

(a) If X1, X2, . . . is an independent sequence of uniform (0, 1) variables, show that the product Y = II-1 X; n. i i=1 has an approximate lognormal distribution. Show that the mean and variance of log Y are, respectively, ˆ’n and n.

(b) If Y = eX, with X ˆ¼ Norm(μ, σ2), it can be shown that

E[Y] = e#+o°/2 and V[Y] = (e°*-1) e e2H+o²

Let X1, . . . , X100 be an independent sequence of uniform (0,1) variables. Estimate

(c) Verify the aforementioned results with a simulation experiment in R.

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