Jan 31 Homework Solutions Math 151, Winter Chapter 3 Problems (pages )

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1 Jan 31 Homework Solutions Math 151, Winter 01 Chapter 3 Problems (pages ) Problem 61 Genes relating to albinism are denoted by A and a. Only those people who receive the a gene from both parents will be albino. Persons having the gene pair A, a are normal in appearance and, because they can pass on the trait to their offspring, are called carriers. Suppose that a normal couple has two children, exactly one of whom is an albino. Suppose that the nonalbino child mates with a person who is known to be a carrier for albinism. (a) What is the probability that their first offspring is an albino? For the first offspring to be an albino, both parents would have to be carriers. We have P (offspring is aa) P (offspring is aa both parents are Aa)P (both parents are Aa). If both parents are Aa, then the offspring is albino with probability 1/4. Hence P (offspring is aa both parents are Aa) 1 4. Now let s compute P (both parents are Aa). One parent of the offspring is known to be a carrier. We know that the other parent is normal. We also know that the other parent must be the offspring of two carriers, because the other parent has two normal parents and an albino sibling. Hence P (both parents are Aa) P (other parent is Aa) since one parent is known to be a carrier P (other parent is Aa other parent is normal) 3. since other parent is known to be normal P (other parent is Aa and normal) by definition P (other parent is normal) P (other parent is Aa) since any Aa person is normal P (other parent is normal) P (other parent is Aa) P (other parent is AA) + P (other parent is Aa) 1/ 1/4 + 1/ 1

2 Thus P (offspring is aa) P (offspring is aa both parents are Aa)P (both parents are Aa) (b) What is the conditional probability that their second offspring is an albino given that their first born is not? We know P (nd is albino 1st is normal) We calculate the denominator P (1st is normal and nd is albino) P (1st is normal) using part (a). P (1st is normal) 1 P (1st is albino) If the first offspring is normal and the second offspring is albino, then their parents must be carriers, so P (1st offspring is normal and nd is albino) P (1st offspring is normal and nd is albino both parents are Aa)P (both parents are Aa). If the parents are both carriers, the first offspring is normal with probability 3/4 and the second is albino with probability 1/4. By Part (a), both parents are carriers with probability /3. Thus P (1st offspring is normal and nd is albino) P (1st offspring is normal and nd is albino both parents are Aa)P (both parents are Aa) 4 1 ) In conclusion, we have P (nd is albino 1st is normal) P (1st is normal and nd is albino) P (1st is normal) 1/8 5/ Problem 64 A true-false question is to be posed to a husband-and-wife team on a quiz show. Both the husband and the wife will independently give the correct answer with probability p. Which of the following is a better strategy for the couple? (a) Choose one of them and let that person answer the question.

4 this for all 5 genes. The probability that the progeny and first parent will have the same phenotype is P (matches 1st parent s phenotype) P (A correct)p (B correct)p (C correct)p (D correct)p (E correct) For the A gene, the progeny will have the same genotype as the first parent with probability 1/. For the B gene, the progeny will have the same genotype as the first parent with probability 1/. Do this for all 5 genes. The probability that the progeny and first parent will have the same genotype is P (matches 1st parent s genotype) P (A correct)p (B correct)p (C correct)p (D correct)p (E correct) (b) the second parent? P (matches nd parent s phenotype) P (A correct)p (B correct)p (C correct)p (D correct)p (E correct) P (matches nd parent s genotype) P (A correct)p (B correct)p (C correct)p (D correct)p (E correct) (c) either parent? 4

5 P (matches either parent s phenotype) P (matches 1st parent s phenotype) + P (matches nd parent s phenotype) since the two events are disjoint P (matches either parent s genotype) P (matches 1st parent s genotype) + P (matches nd parent s genotype) since the two events are disjoint (d) neither parent? P (matches neither parent s phenotype) 1 P (matches either parent s phenotype) P (matches neither parent s genotype) 1 P (matches either parent s genotype) Problem 76 Suppose that E and F are mutually exclusive events of an experiment. Show that if independent trials of this experiment are performed, then E will occur before F with probability P (E)/[P (E) + P (F )]. Define the event G as the event that neither E nor F occurs. That is, G E c F c. P (E occurs before F ) P (E occurs before F trial 1 is E)P (trial 1 is E) +P (E occurs before F trial 1 is F )P (trial 1 is F ) +P (E occurs before F trial 1 is G)P (trial 1 is G). 5

6 If E occurs on trial 1, then E occurs before F, and if F occurs on trial 1, then E does not occur before F. If G occurs on trial 1, then we start all over in determining whether E or F occurs first. Thus P (E occurs before F ) 1 P (E) + 0 P (F ) + P (E occurs before F )P (G). Solving for P (E occurs before F) yields P (E occurs before F ) P (E) 1 P (G) P (E) P (E) + P (F ). Problem 78 A and B play a series of games. Each game is independently won by A with probability p and by B with probability 1 p. They stop when the total number of wins of one of the players is two greater than that of the other player. The player with the greater number of total wins is declared the winner of the series. (a) Find the probability that a total of 4 games are played. If A wins both of the first two games, the games end before 4 games are played. Similarly if B wins the first two games. The probability that A and B are tied after two games is p(1 p). If A and B are tied after two games, then the only way the game will stop after 4 games is if either A wins the next two games, which occurs with probability p, or B wins the next two games, which occurs with probability (1 p). In other words, if A and B are tied after two games, the probability that there will be exactly 4 games played is p + (1 p). So P (exactly 4 games played) P (exactly 4 games played tied after two games)p (tied after two games) ) (p + (1 p) p(1 p) 4p 4 + 8p 3 6p + p. (b) Find the probability that A is the winner of the series. P (A wins) P (A wins A wins after two games)p (A wins after two games) +P (A wins B wins after two games)p (B wins after two games) +P (A wins tie after two games)p (tie after two games) 1 p + 0 (1 p) + P (A wins) p(1 p). Solving for P (A wins), we get P (A wins) p 1 p + p. 6

7 Problem 80 In a certain contest, the players are of equal skill and the probability is 1/ that a specified one of the two contestants will be the victor. In a group of n players, the players are paired off against each other at random. The n 1 winners are again paired off randomly, and so on, until a single winner remains. Consider two specified contestants, A and B, and define the events A i, i n, by A plays in exactly i contests, and E by A and B never play each other. (a) Find P (A i ), i 1,...n. In order for A to play in exactly i contests, player A will have to win the first i 1 contests and lose the i-th contest. Hence ( 1 ) i 1 1 P (A i ) 1. i (b) Find P (E). First observe if A and B play, then one must beat the other, so We have P (E) 1 P (E c ) 1 P (A ever beats B) P (B ever beats A) 1 P (B ever beats A) by symmetry. P (B ever beats A) n P (B ever beats A A i )P (A i ). i1 If A loses the i-th contest, he loses to any one of the n 1 other players with equal probability, so P (B ever beats A A i ) 1 n 1. Therefore Hence P (B ever beats A) n P (B ever beats A A i )P (A i ) i1 n i1 1 n 1 1 n 1 1 by part (a) i n i1 1 i 1 n (1/)n 1/ 1 n. P (E) 1 P (B ever beats A) ( 1 ) 1 n 1 1 n 1. 7 since it s a geometric series

8 (c) Let P n P (E). Show that P n 4 + P ) n 1 n 4 n 1 and use this formula to check the answer you obtained in part (b). Note: there is a mistake in the recursive formula given in the book. The formula they give is for E c in place of E. We instead prove the correct recursive formula for E. We define P i to be the event that A and B do not play each other in a tournament with i players. Hence P n P (E). Let F be the event that A and B play in the first contest and observe that P n P (E) P (E F )P (F ) + P (E F c )P (F c ). Since A plays each of the n 1 other players in the first contest with equal probability, P (F ) 1 and P (F c ) n. Note P (E F ) 0. To calculate P (E F c ), n 1 n 1 note that if A and B do not play in the first contest, then there are two mutually exclusive ways that they will not play in the tournament. The first way is that one of A and B loses in the first round, which happens with probability 3. The second 4 way is that both both A and B win in the first round and A and B don t meet in the subsequent tournament with n 1 players. This happens with probability 1 P 4 n 1 P n 1. Hence 4 and P n P (E) P (E F c ) P n 1 4 P (E F )P (F ) + P (E F c )P (F c ) 1 0 n P ) n 1 n 4 n P ) n 1 n 4 n 1. Now we can check part (b), in which we found that P (E) 1 1 n 1, using induction on n. The base case is n 1. Clearly if there are only 1 players, then A and B must play in the first round and so our formula is correct. P n For the inductive step, suppose that formula P n holds for n 1. We n must show that the formula P n 1 1 holds for n. Using our formula above, n 1 8

9 we have P n 4 + P ) n 1 n 4 n ) n ) n n n 1 ( n 1 ) n n n 1 n n 1 1 n 1. n n 1 Hence by induction on n, we have proven the formula P (E) P n 1 1 n 1 from part (b) for all positive values of n. (d) Explain why n 1 games are played. Number these games, and let B i denote the event that A and B play each other in game i, i 1,..., n 1. In each game, exactly one player loses. Since there is a single winner remaining after the tournament, all but one of the n players lose a game. Thus the number of games is n 1. (e) What is P (B i )? Two of the n players play in game i and each pair of players play in game i with equal probability, so (f) Use part (e) to find P (E). P (B i ) ( 1 n)!(n )! n! Note E ( n 1 i1 B i) c. Hence ( ) P (E) 1 P n 1 i1 B i 1 n 1 i1 P (B i ) n n 1 ( n 1) i1 1 ( n 1) 1 1 n 1. n ( n 1) 1 n 1 ( n 1). since the events B i are mutually exclusive 1 n 1 ( n 1) Note this is the same answer we found in part (b). 9

10 Problem 81 An investor owns shares in a stock whose present value is 5. She has decided that she must sell her stock if it either goes down to 10 or up to 40. If each change of price is either up 1 point with probability.55 or down 1 point with probability.45, and the successive changes are independent, what is the probability that the investor retires a winner? Let P n be the probability that the investor retires a winner given that she owns stock whose present value is n, 10 n 40. Note P 10 0 and P By Bayes formula, P n P (winner price goes up to n + 1)P (price goes up) +P (winner price goes down to n 1)P (price goes down) P n P n Let s try to solve for the difference P n+1 P n. From the equation we get that Rearranging, we get Hence P n P n P n (P n P n 1 ).55(P n+1 P n ). P n+1 P n (.45/.55)(P n P n 1 ). P n+1 P n (.45/.55)(P n P n 1 ) (.45/.55) n 10 (P 11 P 10 ) (.45/.55) n 10 P 11 since P To compute P 11, note that 1 P 40 P n10 (P n+1 P n ) 39 n10 (.45/.55) n 10 P 11 1 (.45/.55) /.55 P 11, where the last equality comes from the sum of a geometric series. So Thus P 5 is given by P 5 P 5 P 10 P /.55 1 (.45/.55) n10 4 (P n+1 P n ) (.45/.55) n 10 P 11 n10 1 (.45/.55) /.55 P 11 1 (.45/.55) /.55 1 (.45/.55)15 1 (.45/.55) /.55 1 (.45/.55) 30 10

12 Regardless of who gets the last vote, A stays ahead until and including the last vote. The probability that the last vote is for A is n/(n + m) and the probability that the last vote is for B is m/(n + m), so P n,m P n 1,m n n + m + P m n,m 1 n + m. (e) Use part (d) to verify your conjecture in part (c) by an induction proof on n + m. The base case n + m 3 is verified in part (a). For the inductive step, suppose P n,m n m if n + m N for some integer N. This is our inductive assumption. n+m Now, consider n + m N + 1. We have m n + m n n + m + n m + 1 n P n,m P n 1,m n + m + P n,m 1 n 1 m n 1 + m n + m 1 by inductive assumption (n 1 m)n + (n m + 1)m (n + m 1)(n + m) n n m + m (n + m 1)(n + m) (n + m 1)(n m) (n + m 1)(n + m) n m n + m. m n + m Hence by induction on n + m, we have proven that P n,m n m holds for all values n+m of n and m with n > m. Chapter 4 Problems (pages ) Problem 1 Two balls are chosen randomly from an urn containing 8 white, 4 black, and orange balls. Suppose that we win \$ for each black ball selected and we lose \$1 for each white ball selected. Let X denote our winnings. What are the possible values of X, and what are the probabilities associated with each value? There are at most six possible values for X depending what balls are chosen. If two white balls are chosen, X. If a white and orange ball is chosen, X 1. If two orange balls are chosen, X 0. If a white and black ball is chosen, X 1. If a black and orange ball is chosen, X. If two black balls are chosen, X 4. Thus X takes six values, 1, 0, 1,, 4. Let s calculate the probabilities associated with each value. ( 8 ) P {X } ( 14 ).3077 P {X 1} 8 ( 14 )

13 ( ) P {X 0} ( 14 ).0110 P {X 1} 8 4 ( 14 ).3516 P {X } 4 ( 14 ).0879 P {X 4} ( 4 ) ( 14 ).0659 Problem 4 Five men and five women are ranked according to their scores on an examination. Assume that no two scores are alike and all 10! possible rankings are equally likely. Let X denote the highest ranking acheived by a woman (For instance, X 1 if the top-ranked person is female.) Find P {X i}, i 1,, 3,..., 8, 9, 10. First note there is at least one woman of rank at least 6, so P {X i} 0 for i 7, 8, 9, 10. Let i 6 and suppose the highest rank of a woman is i. Then there are i 1 men of higher rank than her, who can be chosen and ordered in ( 5 i 1) (i 1)! different ways. There are 5 choices of women for the i-th rank. There are 10 i people of lower rank, who can be ordered in (10 i)! ways. Thus for i 1,,..., 6. P {X i} ( 5 i 1) (i 1)! 5 (10 i)! 10! Problem 5 Let X represent the difference between the number of heads and the number of tails obtained when a coin is tossed n times. What are the possible values of X? If a coin is tossed n times, the number of tails is some integer i between 0 and n and the number of heads is n i. So X takes the values (n i) i n i for i 0, 1,..., n. 13

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