#769. Random Distribution Sampling When you take data in real life, you generally do not know what distribution the data follows. Let's mimic that situation here by studying the process that

generates N random numbers x as x=rand (N,1).^0.2, i.e., a uniform random variable raised to the 1/5th power. Use N 100 to compute a 85% confidence interval on the mean. Hint: use the Central Limit Theorem.