2. Suppose you decide to randomly generate numbers from X ~ Unif (0,0). Your friend will...
2. Suppose you decide to randomly generate numbers from X ~ Unif(0, ). Your friend will ask for n numbers and then use this information to guess what value you (secretly) chose for θ. Typically, one might use alLE = max Xi = X, to estimate θ. Your friend, however, has meganumerophobia, and is afraid to say the maximum number in the random sample. Instead, he'll say the second largest number: θ = Xn-1. Determine the bias of this estimator...
3. Suppose you have X Binom(n, p) where n is known and p is unknown. Typically, people use p = _ to estimate p, where X = Xi is simply a sample of size l. This might represent simultaneously flipping n coins (just once!) and counting the number of heads you see, where each coin has Pheads - p. Now, if both n and p are known, we know the variance V of X is just np(1-p) If p is...