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A practice final exam for a stat 400 course, covering topics such as discrete and continuous random variables, probability mass functions, cumulative distribution functions, median and percentiles, joint probability mass functions, independence, confidence intervals, and prediction intervals.
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Stat 400 PRACTICE FINAL EXAM
J.Millson
p(1) = 1/ 3 , p(2) = 1/ 3 , p(3) = 1/ 3.
.
(a) Find E(X). (b) Find E(X^2 ). (c) Find V (X). (d) Find F (x), the cumulative distribution function of X. (e) Make the change of variable Y = X − 1. Find the probability mass function of the new random variable Y.
(20 points)
f (x) =
2(1 − x), 0 ≤ x ≤ 1 , 0 , otherwise.
(a) Find E(X). (b) Find V(X). (c) Find F (x), the cumulative distribution function of X. (d) Find the median of X. (e) Find the 75-th percentile of X
X \ Y 0 1 0 0 1/ 1 1/4 1/
(a) Compute the probability mass functions of the random variables X and Y. (b) Are X and Y independent? (c) Compute the probability mass function of the random variable Z = X + Y. (d) Compute Cov(X, Y ). (e) Compute the correlation ρX,Y. (20 points)
(i) Calculate a 95% lower-tailed confidence interval (upper confidence bound) for population mean escape time.
(ii) Calculate a 95% lower-tailed prediction interval (upper prediction bound) for a single additional worker.