MTH135/STA104: Probability

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1 MTH35/STA04: Probability Homework # 3 Due: Tuesday, Sep 0, 005 Prof. Robert Wolpert. from prob 7 p. 9 You roll a fair, six-sided die and I roll a die. You win if the number showing on your die is strictly greater than the one on mine. a What is the probability that you win our first game? b If we play the game five times, what is the probability that you win at least four times?. A sample of size k = 0 is taken with replacement from a population of size n. What is the smallest value of n so that the chance of a duplicate a single individual being chosen two or more times is below 50%? Need Evidently f68 = f69 = 0.50 fn P[no duplicate n] = nn n 9 n < 0.5 < , 69 0 so the answer is 69. For more methodical approach, use Stirling s approxi-

2 mation: fn = n! n 0 n 0! πn n n e n n 0 πn 0 n 0 n 0 e n 0 = 0/n 9.5 n e 0, so log fn = 9.5 n 0/n 00/n + o/n 3 0 = 95/n /n 0 + o/n 45/n + o/n, so we need n just big enough that 45/n > log 0.693, i.e., n 45/ log A little fiddling shows that 69 is the exact answer. 3. prob 8 p. 9 For each positive integer n, find the largest value of p such that zero is the most likely number of successes in n independent trials, each with probability p of success. We want p n = P 0 P = n p p n, so p n p or pn + and hence p = /n + is the largest p that works % of the people in a certain population are left-handed. A random sample of size 5 will be drawn, with replacement, from this population. a What is the most likely number of left-handed persons in the sample? The most likely number k satisfies np q k np + p; here p = 0.75 and n = 5, so k , i.e., k = or. b What is the probability of getting exactly this number of left-handed people in the sample? The probability of each of these is P = = / Use geometry and art skills to evaluate the following integrals. Show your pictures. a b c 4 x dy dx = π / = π 0 x dy dx = 4 = 4 0 x 3 dx x dx = π /6 = π/3

3 6. Approximately 5% of human live births are male in the U.S. Let M be the number of males among 400 live births at Durham Regional Hospital; assume the childrens genders are independent. Find normal approximations to four correct decimals to a P[90 M 0] Φ b P[0 M 0] Φ c P[0 M 30] Φ d P[M = 00] Φ or = Φ = Φ = Φ = Φ ϕ e P[M = 0] Φ or / = Φ ϕ 0 08 / prob 9, p. 09 An airline knows that over the long run 90% of passengers who reserve seats show up for their flight. On a particular flight with 300 seats, the airline accepts 34 reservations. a Assuming that passengers show up independently, what is the chance that the plane will be overbooked? Give answer as a decimal to four correct decimals. P[X > 300] = k k k k= Φ = Φ

4 b Suppose that people tend to travel in groups. Would that decrease or increase the probability of overbooking? Explain your answer. It would increase the chance of overbooking, up to a maximum of 90% if all 34 passengers flew together as a group see below for illustration: c In particular, suppose the 34 reserved passengers were 6 couples. Now what is the chance of overbooking? P[X > 300] = k k k k= Φ = Φ A pollster asks a random sample of some number n of potential voters whether they prefer candidate A or candidate B; denote by x the number in her sample who prefer A. She wishes to estimate the proportion p of the population who favor A; her estimate will be the proportion x/n of the sample who favor A. a Find an expression in terms of n, p, and the Normal CDF function Φ for the approximate probability that her sample estimate x/n will not be within ±0.0 within two percent of the true value p. We use the normal approximation to the binomial, with µ = n p and 4

5 σ = n p q, where as usual q = p: P[Sample is within ±%] = P[ 0.0 x n p +0.0] = P[np 0.0 n x np n] np + 0.0n + Φ µ np 0.0n Φ µ σ σ np + 0.0n + = Φ np np 0.0n Φ np npq npq 0.0n + = Φ npq Φ 0.0n npq = Φ P[Sample is not within ±%] = Φ = Φ 0.0 n + n pq, so 0.0 n + n pq 0.0 n + n pq Those who skipped the ± 0.0 will have the somewhat simpler expression Φ n/pq, which will be good enough for most purposes. b With n = 00, plot the error probability in your answer to part as a function of p for 0 < p <. For n = 00, Eqn. becomes Φ 0.5/ pq and we get: 5

6 Prob NOT within % p c What is the maximum value of this error probability over the range 0 < p <? Evidently the function attains a maximum at p =, where its value is Φ Those who skipped the ± will find Φ , probably close enough. d How large must n be for the maximum error probability to be no more than 5%? This is how the Gallup, Roper, and other polling companies choose their sample sizes. The function of Eqn. reaches its maximum at p =, so we need 0.05 = Φ.96 Φ 0.0 n + n = Φ 0.04 n / n, so n / n, so x n satisfies the quadratic 0.04x.96x n = x n = , 6

7 so the sample would have to be about 35 to achieve ±% error with probability at least 95%. Those who skipped the + in Eqn. will have an easier time; their n derivation will be 0.05 = Φ.96 Φ 0.04 n, so n satisfies n or n.96/0.04 = 40 so they ll think they need a little bigger sample. 7

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