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Unformatted text preview: 666 Chapter 12 3 Probability and Statistics to assign a suit to each card and thus a total of 43 ways. Combining the different steps, we ﬁnd that there are 13. 4 12 43=1,098,240
2 3 ways to pick exactly one pair. I 'Secti'tim‘rz Problem' 2! 12.1.1 1. Suppose that you want to investigate the inﬂuence of light
and fertilizer levels on plant performance. You plan to use ﬁve
fertilizer and two light levels. For each combination of fertilizer
and light level, you want four replicates. What is the total number
of replicates? 2. Suppose that you want to investigate the effects of leaf damage
on the performance of droughtstressed plants. You plan to use
three levels of leaf damage and four different watering protocols.
For each combination of leaf damage and watering protocol,
you plan to have three replicates. What is the total number of
replicates? 3. Coleomegilla maculala, a lady beetle, is an important predator
of egg masses of Ostrinia nubialis, the European corn borer. C.
maculata also feeds on aphids and maize pollen. To study its food
preferences, you choose two satiation levels for C. maculata and
combinations of two of the three food sources (i.e., either egg
masses and aphids, egg masses and pollen, or aphids and pollen).
For each experimental protocol, you want 20 replicates What is
the total number of replicates? 4. To test the effects of a new drug, you plan the following clinical
trial: Each patient receives the new drug, an established drug, or a placebo. You enroll 50 patients. In how many ways can you assign
them to the three treatments? 5. The Muesli—Mix is a popular breakfast hangout near a campus.
A typical breakfast there consists of one beverage, one bowl
of cereal, and a piece of fruit. If you can choose among three
different beverages, seven different cereals, and four different
types of fruit, how many choices for breakfast do you have? 6. To study sex differences in food preferences in rats, you offer
one of three choices of food to each rat. You plan to have 12 rats
for each foodandsex combination. How many rats will you need? 7. The genome of the HIV virus consists of 9749 nucleotides.
There are four different types of nucleotides. Determine the total
number of different genomes of size 9749 nucleotides. 8. Automated chemical synthesis of DNA has made it possible to
custom—order moderatelength DNA sequences from commercial
suppliers. Assume that a single nucleotides weighs about 5.6 x
10'22 gram and that there are four kinds of nucleotides. If you
wish to order all possible DNA sequences of a ﬁxed length, at what length will your order exceed (a) 100 kg and (b) the mass of the
Earth (5.9736 x 1024 kg)? I 12.1.2 9. You plan a trip to Europe during which you wish to visit
London, Paris, Amsterdam, Rome, and Heidelberg. Because you
want to buy a railway ticket before you leave, you must decide on the order in which you will visit these ﬁve cities. How many
different routes are there? 10. Five people line up for a photograph. How many different
lineups are possible? 11. You have just bought seven different books. In how many
ways can they be arranged on your bookshelf? 12. Four cars arrive simultaneously at an intersection. Only one car can go through at a time. In how many different ways can they
leave the intersection? 13. How many fourletter words with no repeated letters can you
form from the 26 letters of the alphabet? 14. A committee of 3 people must be chosen from a group of
10. The committee consists of a president, a vice president, and
a treasurer. How many committees can be selected? 15. Three different awards are to be given to a class of 15 students.
Each student can receive at most one award. Count the number
of ways these awards can be given out. 16. You have just enough time to play 4 songs out of 10 from your
favorite CD. In how many ways can you program your CD player
to play the 4 songs? 17. Six customers arrive at a bank at the same time. Only one Customer at a time can be served. In how many ways can the six
customers be served?
18. An amino acid is encoded by triplet nucleotides How many different amino acids are possible if there are four different
nucleotides that can be chosen for a triplet? :l 12.1.3 19. A bag contains 10 different candy bars. You are allowed to
choose 3. How many choices do you have? 20. During International Movie Week, 60 movies are shown. You have time to see 5 movies How many different plans can you
make? 21. A committee of 3 people must be formed from a group of 10. How many committees can there be if no speciﬁc tasks are
assigned to the members? 22. A standard deck contains 52 different cards. In how many
ways can you select 5 cards from the deck? 23. An urn contains 15 different balls. In how many ways can you
select 4 balls without replacement?
24. TWelve people wait in front of an elevator that has room for only 5. Count the number of ways that the ﬁrst group of people to
take the elevator can be chosen. 25. Four A’s and ﬁve B‘s are to be arranged into a nineletter
word. How many different words can you form? 26. Suppose that you want to plant a flower bed with four
different plants. You can choose from among eight plants. How
may different choices do you have? 27. Amin owns a 4~GB music storage device that holds 1000 songs. How many different playlists of 20 songs are there if the
order of the songs is important? 28. A bookstore has 300 science ﬁction books. Molly wants to buy
5 of the 300 science ﬁction books. How many selections are there’.’ 1 12.1.4 29. A box contains ﬁve red and four blue balls. You choose two
balls (at) How many possible selections contain exactly two red balls, . how many exactly two blue balls, and how many exactly one of
each color? (b) Show that the sum of the number of choices for the three cases
in (a) is equal to the number of ways that you can select two balls
out of the nine balls in the box. 30. Twelve children are divided up into three groups, of ﬁve, four,
and three children, respectively. In how many ways can this be
done if the order within each group is not important? 31. Five A‘s, three B’s, and six C’s are to be arranged into a 14—
letter word. How many different words can you form? 32. A bag contains 45 beans of three different varieties. Each
variety is represented 15 times in the bag. You grab 9 beans out of
the bag. (3) Count the number of ways that each variety can be
represented exactly three times in your sample. (b) Count the number of ways that only one variety appears in
your sample. 33. Let S = (a, b, 0}. List all possible subsets, and argue that the
total number of subsets is 23 = 8. 34. Suppose that a set contains n elements. Argue that the total
number of subsets of this set is 2". 35. In how many ways can Brian, Hilary, Peter. and Melissa sit on
a bench if Peter and Melissa want to be next to each other? 36. Paula, Cindy, Gloria, and‘Jenny have dinner at a round table. In how many ways can they sit around the table if Cindy wants to
sit to the left of Paula? 37. In how many ways can you form a committee of three people
from a group of seven if two of the people do not want to serve
together? 38. In how many ways can you form two committees of three
people each from a group of nine if
(a) no person is allowed to serve on more than one committee? (1)) people can serve on both committees simultaneously? 39. A collection contains seeds for four different annual and
three different perennial plants. You plan a garden bed with three
different plants, and you want to include at least one perennial.
How many different selections can you make? I 12.2 What Is Probability? 12.2 I What Is Probability? 667 40. In diploid organisms, chromosomes appear in pairs in the
nuclei of all cells except gametes (sperm or ovum). Gametes
are formed during meiosis, a process in which the number of
chromosomes in the nucleus is halved; that is, only one member
of each pair of chromosomes ends up in a gamete. Humans have 23 pairs of chromosomes. How may kinds of gametes can a human
produce? 41. Sixty patients are enrolled in a small clinical trial to test the
efﬁcacy of a new drug against a placebo and the currently used
drug. The patients are divided into 3 groups of 20 each. Each group is assigned one of the three treatments. In how many ways can the
patients be assigned? 42. One hundred patients wish to enroll in a small study in which
patients are divided into four groups of 25 patients each. In how many ways can this be done if no patient is to be assigned to more
than one group? 43. Expand (x + y)‘. 44. Expand (2x — 3y)5. 45. In how many ways can four red and ﬁve black cards be
selected from a standard deck of cards if cards are drawn without
replacement? 46. In how many ways can two aces and three kings be selected
from a standard deck of cards if cards are drawn without
replacement? 47. In the game of poker, determine the number of ways exactly
two pairs can be picked. 48. In the game of poker, determine the number of ways a ﬂush
(ﬁve cards of the same suit) can be picked. 49. In the game of poker, determine the number of ways four of a kind (four cards of the same value, plus one other cards) can be
picked. 50. In the game of poker, determine the number of ways astraight
(ﬁve cards with consecutive values, such as A 2 3 4 5 or 7 8 9 10 J
or 10 J O K A, but not all of the same suit) can be picked. 51. Counterpoint Counterpoint is a musical term that means
the combination of simultaneous voices; it is synonymous with
polyphony. In triple counterpoint, three voices are arranged such
that any voice can take any place of the three possible positions: highest, intermediate, and lowest voice. In how many ways can the
three voices be arranged? 52. Counterpoint Counterpoint is a musical term that means
the combination of simultaneous voices; it is synonymous with
polyphony. In quintuple counterpoint, ﬁve voices are arranged
such that any voice can take any place of the ﬁve possible positions: from highest to lowest voice. In how many ways can the
live voices be arranged? 1 12.2.1 Basic Definitions A random experiment is a repeatable experiment in which the outcome is uncertain.
Tossing a coin and rolling a die are examples of random experiments. The set of all
possible outcomes of a random experiment is called the sample space and is often
denoted by $2 (uppercase Greek omega). We look at some examples in which we
describe random experiments and give the associated sample space. Suppose that we toss a coin labeled heads (H) on one side and tails (T) on the other. If we toss the coin once. the possible outcomes are H and T, and the sample space is I Sectiona12‘.27 Problems.» 677 12.2 I What Is Probability? I 12.2.1 In Problems 14, determine the sample space for each random
experiment. 1. The random experiment consisting of tossing a coin three
times. 2. The random experiment consisting of rolling a sixsided die
twice. 3. An urn contains ﬁve balls numbered 1—5, respectively. The
random experiment consists of selecting two balls simultaneously
without replacement. 4. An urn contains six balls numbered 1~6, respectively. The
random experiment consists of selecting ﬁve balls simultaneously
without replacement. In Problems 5—8, assume that
Q = [1,2, 3,4, 5, 6) A = {1, 3, 5}, and B = {1,2, 3]. 5. FindAUBandAﬂB. 6. Find A‘ and show that (A”)" = A.
7. Find (A U B)”. 8. Are A and B disjoint? In Problems 9—12, assume that
12 = [1,2, 3, 4,5} P(l) = 0.1, P(Z) = 0.2, and PG) = P(4) = 0.05. Furthermore,
assume that A = {1. 3, 5} and B = {2, 3, 4}. 9. Find P(S). 10. Find P(A) and P(B).
11. Find P(A‘). 12. Find P(A U B). In Problems 13—15, assume that
Q = {1, 2, 3, 4} and P(1) = 0.1. Furthermore, assume that A = [2, 3} and B =
{3. 4]. P(A) = 0.7, and P(B) = 0,5. 13. Find P(3). 14. Set C = {1, 2}. Find P(C).
15. Find P ((A n 8)"). l6. Assume that PM D B”) = 0.1, P(B F) A")
P((A U B)‘) = 0.2. Find P(A (l B). 17. Assume that P(Aﬂ B) = 0.1, P(A) = 0.4, and P(A‘ﬂB‘) =
0.2. Find P(B). t 18. Assume that PM) = 0.4, P(B) = 0.4, and PM U B) = 0.7.
Find P(A (‘1 B) and P(A" 0 BC). 19. Show the second of the additional properties, namely, 0.5, and PM u B) = P(A) + P(B) — P(A n B) (12.5) (8) Use a diagram to show that B can be written as a disjoint
union of the sets A n B and B n A“. (b) Use a diagram to show that A U B can be written as a disjoint
union of the sets A and B n A”. (c) Use your results in (a) and (b) to show that PM U B) = P(A) + P(B O A") and
P(B n A”) = P(B) — PM 0 B)
Conclude from these two equations that (12.5) holds. 20. If A C B, we can deﬁne the difference between the two sets
A and B, denoted by B — A (read “B minus A”), B—A=BnAc as illustrated in Figure 12.12,
B  A Figure 12.12 The set A is con
tained in B. The shaded area is
the difference of A and B, B — A. Go through the following steps to show that the difference rule P(B — A) = P(B) — P(A) (12.6) holds: (a) Use the diagram in Figure 12.12 to show that B can be written
as a disjoint union of A and B  A. (b) Use your result in (a) to conclude that
P(B) = P(A) + P(B — A) and show that (12.6) follows from this equation. (c) An immediate consequence of (12.6) is the result that if A C
B, then PM) E P(B)
Use (12.6) to show this inequality. I 12.2.2 21. Toss two fair coins and ﬁnd the probability of at least one
head. 22. Toss three fair coins and ﬁnd the probability of no heads. 23. Toss four fair coins and ﬁnd the probability of exactly two
heads. 24. Toss four fair coins and ﬁnd the probability of three or more
heads 25. Roll a fair die twice and ﬁnd the probability of at least one 4. 26. Roll two fair dice and ﬁnd the probability that the sum of the
two numbers is even. 27. Roll two fair dice, one after the other, and ﬁnd the probability
that the ﬁrst number is larger than the second number. 28. Roll two fair dice and ﬁnd the probability that the minimum
of the two numbers will be greater than 4. 29. In Example 11, we considered a cross between two pea plants,
each of genotype Cc. Find the probability that a randomly chosen
seed from this cross has white ﬂowers. 30. In Example 11, we considered a cross between two pea plants,
each of genotype Cc. Now we cross a pea plant of genotype cc with
a pea plant of genotype Ce. (8) What are the possible outcomes of this crossing? (b) Find the probability that a randomly chosen seed from this
crossing results in red ﬂowers. 31. Suppose that two parents are of genotype Aa. What is the probability that their offspring is of genotype Aa? (Assume
Mendel’s ﬁrst law.) 678 Chapter 12 2! Probability and Statistics 32. Suppose that one parent is of genotype AA and the other is
of genotype Aa. What is the probability that their offspring is of
genotype AA? (Assume Mendel’s ﬁrst law.) 33. A family has three children. Assuming a 1:1 sex ratio. what is
the probability that all of the children are girls? 34. A family has three children. Assuming a 1:1 sex ratio, what is
the probability that at least one child is a boy? 35. A family has four children. Assuming a 1:1 sex ratio, what is
the probability that no more than two children are girls? In Problems 36.37, we discuss the inheritance of red—green color
blindness. Color blindness is an X linked inherited disease. A
woman who carries the color blindness gene on one of her X
chromosomes, but not on the other, has normal vision. A man who
carries the gene on his only X chromosome is color blind. 36. If a woman with normal vision who carries the color blindness
gene on one of her X chromosomes has achild with a man who
has normal vision. what is the probability that their child will be
color blind? 37. If a woman with normal vision who carries the color blindness
gene on one of her X chromosomes has a child with a man who is
red—green color blind, what is the probability that their child has
normal vision? 38. Cystic ﬁbrosis is an autosomal recessive disease, which means
that two copies of the gene mustbe mutated for a person to
be affected. Assume that two unaffected parents who each carry
a single copy of the mutated gene have a child. What is the
probability that the child is affected? 39. An urn cantains three red and two blue balls. You remove
two balls without replacement. What is the probability that the
two balls are of a different color? 40. An urn contains ﬁve blue and three green balls. You remove
three balls from the urn without replaCement. What is the
probability that at least two out of the three balls are green? 41. You select 2 cards without replacement from a standard deck
of 52 cards. What is the probability that both cards are spades? 42. You select 5 cards without replacement from a standard deck
of 52 cards. What is the probability that you get four aces? 43. An urn contains four green, six blue, and two red balls. You
take three bails out of the urn without replacement. What is the
probability that all three balls are of different colors? 44. An urn contains three green, ﬁve blue. and four red balls. You
take three bails out of the urn without replacement. What is the
probability that all three balls are of the same color? 45. Four cards are drawn at random without replacement from a
standard deck of 52 cards. What is the probability of at least one
ace? 46. Four cards are drawn at random without replacement from a
standard deck of 52 cards. What is the probability of exactly one
pair? 47. Thirteen cards are drawn at random without replacement from a standard deck of 52 cards. What is the probability that all
are red? 48. F0ur cards are drawn at random without replacement from a
standard deck of 52 cards What is the probability that all are of r different suits? 49. Five cards are drawn at random without replacement from a standard deck of 52 cards. What is the probability of exactly two
pairs? 50. Five cards are drawn at random without replacement from a
standard deck of 52 cards. What is the probability of three of a kind and a pair (for instance, Q Q Q 3 3)? (This is called a full
house in poker.) 51. A lake contains an unknown number of ﬁsh, denoted by N.
You capture 100 ﬁsh, mark them, and subsequently release them.
Later, you return and catch 10 ﬁsh, 3 of which are marked. (it) Find the probability that exactly 3 out of 10 ﬁsh you just
caught will be marked. This probability will be a function of N,
the unknown number of ﬁsh in the lake. (b) Find the value of N that maximizes the probability you computed in (a), and show that this'value agrees with the value
we computed in Example 13. 3 12.3 Conditional Probability and Independence Before we deﬁne conditional probability and independence, we will illustrate these concepts by using the Mendelian crossing of peas that we considered in the previous
section to study ﬂower color inheritance. Assume that two parent pea plants are of genotype Cc. Suppose you know that
the offspring of the crossing Cc x Cc has red ﬂowers. What is the probability that it is
of genotype CC? We can ﬁnd this probability by noting that one of the three equally
likely possibilities that produce red ﬂowers [namely, (C. C), (C, c), and (c, C) if we
list the types according to maternal and paternal contributions as in Example 11 of
the previous section] is of type CC. Hence. the probability that the offspring is of
genotype CC is 1/3. Such a probability, conditioned on some prior knowledge (such
as ﬂower color of offspring), is called a conditional probability. Suppose now that the paternally transmitted gene in the offspring of the crossing
Cc x Cc is of type C. What is the probability that the maternally transmitted gene
in the offspring is of type c? To answer this question, we note that the paternal gene
has no impact on the choice of the maternal gene in this case. The probability that
the maternal gene is of type c is therefore 1/2. We say that the maternal gene is independent of the paternal gene: Knowing which of the paternal genes was chosen
does not change the probability of the maternal gene. 12.3 I Conditional Probability and Independence 687 Pedigrees of families show family relationships among individuals and are indis \pe sable tools for tracing diseases of genetic origin. In a pedigree, males are denoted by sq res, females by circles; blackened symbols denote individuals who suffer from the dis se that is tracked by the pedigree. Figure 12.21 shows the pedigree of a family in which one male (the black square) suffers from hemophilia. We will use this pedig e to determine the probability that individual B is a carrier of the disease
given that 11 three sons of A and B are disease free. We see mm the pedigree that B has a hemophilic brother. Therefore, B’s mother
must be a carrier. There is a 50% chance that a sister of the affected individual is a
carrier. We denote the event that B is a carrier by E. Then P (E) = 1/2. Now, assume
that we are told that B has three sons with an unaffected male (A). If'F denotes the Figure 12.21 The pedigree of a .
family in which one member suffers
from hemophilia. Squares indicate
males. circles females. The black
square shows an afﬂicted individual. event that all three sons are healthy, then 11 1 1
PlF'El‘a'a'a‘s since if B is a carrier, each son has probability 1/2 of not inheriting the disease gene
and thus being healthy. , We can use the Bayes formula to compute the probability that B is a carrier given 3 F l E < 2 % Fc . 1 F i 2 5c 0 We ﬁnd that
Fc Figure 12.22 The sample space is partitioned into two sets E and Ec—where E is the event that the individual B is a carrier of the hemophilia gene. Based on whether or not B is a carrier, the probability of the event that all three sons are healthy (F) can be computed as
shown. P(EF) = that none of her three sons has the disease: ' P(EnF) _ P(FIE)P(E)
P(F) ‘ P(F) To compute the denominator, we must use the law of total probability, as illustrated
in the tree diagram in Figure 12.22. 11 1 9
PF =—  =—
() 2 8+21 16 Therefore, using the Bayes formula, we obtain 1.1
8 2 P(EF)=;—=
i3 \OIH or, in words, on the basis of the pedigree, the probability that B is a carrier of the gene causing hemophilia given that none of her three sons is symptomatic for the disease is 1/9. 3 Section 12.3 Problems I 12.3.1 1. Suppose you draw 2 cards from a standard deck of 52 cards. Find the probability that the second card is a spade given that the
ﬁrst card is a club. 2. Suppose you draw 2 cards from a standard deck of 52 cards. Find the probability that the second card is a spade given that the
ﬁrst card is a spade. 3. Suppose you draw 3 cards from a standard deck of 52 cards.
Find the probability that the third card is a club given that the first
two cards are spades. 4. Suppose you draw 3 cards from a standard deck of 52 cards. Find the probability that the third card is a club given that the ﬁrst
two cards are clubs 5. An urn contains ﬁve blue and six green balls. You take two bails
out of the urn, one after the other, without replacement. Find the probability that the second ball is green given that the ﬁrst ball is
blue. 6. An urn contains ﬁve green, six blue, and four red balls You
take three balls out of the urn, one after the other, without replacement. Find the probability that the third ball is green given
that the ﬁrst two balls were red. 7. A family has two children. The younger one is a girl. Find the
probability that the other child is a girl as well. 8. A family has two children. One of theirchildren is a girl. Find
the probability that both children are girls. 9. You roll two fair dice. Find the probability that the ﬁrst die is a
4 given that the sum is 7. 10. You roll tw0 fair dice. Find the probability that the ﬁrst die is
a 5 given that the minimum of the two numbers is a 3. 11. You toss a fair coin three times. Find the probability that the
ﬁrst coin is heads given that at least one head occurred. 12. You toss a fair coin three times. Find the probability that at least two heads occurred given that the second toss resulted in
heads 688 Chapter 12 2! Probability and Statistics 13. You toss a fair coin four times Find the probability that four
heads occurred given that the ﬁrst toss and the third toss resulted in heads. 14. You toss a fair coin four times. Find the proability of no more
than three heads given that at least one toss resulted in heads. 1 12.3.2 15. A screening test for a disease shows a positive test result in
90% of all cases when the disease is actually present and in 15%
of all cases when it is not. Assume that the preValence of the
disease is 1 in 100. If the test is administered to a randomly chosen
individual, what is the probability that the result is negative? 16. A screening test for a disease shows a positive result in 92%
of all cases when the disease is actually present and in 7% of all
cases when it is not. Assume that the prevalence of the disease is 1
in 600. If the test is administered to a randomly chosen individual,
what is the probability that the result is positive? 17. A patient underwent a diagnostic test for hypothyroidism.
The diagnostic test correctly identiﬁes patients who in fact have
the disease in 93% of the cases and correctly identiﬁes healthy
patients in 81% of the cases. If 4 in 100 individuals have the
disease, what is the probability that a test comes back negative? 18. A screening test for a disease shows a positive test result in
95% of all cases when the disease is actually present and in 20%
of all cases when it is not. When the test was administered to a
large number of people, 21.5% of the results were positive. What
is the prevalence of the disease? 19. A drawer contains three bags numbered 1—3, respectively.
Bag 1 contains three blue balls, bag 2 contains four green balls,
and bag 3 contains two blue balls and one green ball. You choose
one bag at random and take out one ball. Find the probability that
the ball is blue. 20. A drawer contains six bags numbered 1—6, respectively. Bagi
contains 1' blue balls and 2 green balls You roll a fair die and then
pick a ball out of the bag with the number shown on the die. What
is the probability that the ball is blue? 21. You pick 2 cards from a standard deck of 52 cards Find the
probability that the second card is an ace. Compare this with the
probability that the ﬁrst card is an ace. 22. You pick 3 cards from a standard deck of 52 cards. Find the
probability that the third card is an ace. Compare this with the
probability that the ﬁrst card is an ace. 23. Suppose that you have a batch of redﬂowering pea plants of
which 40% are of genotype CC and 60% of genotype Cc. You
pick one plant at random and cross it with a whiteﬂowering pea plant. Find the probability that the offspring of this crossing will
have white ﬂowers. 24. Suppose that you have a batch of red and whiteﬂowering
pea plants, and suppose also that all three genotypes C C. Cc, and
cc are equally represented in the batch. You pick one plant at
random and cross it with a whiteﬂowering pea plant. What is the
probability that the offspring will have red ﬂowers? 25. A bag contains two coins, one fair and the other with two
heads You pick one coin at random and ﬂip it. Find the probability
that the outcome is heads 26. A drug company claims that a new headache drug will bring
instant relief in 90% of all cases. If a person is treated with a
placebo, there is a 20% chance that the person will feel instant
relief. In a clinical trial, half the subjects are treated with the new
drug and the other half receive the placebo. If an individual from
this trial is chosen at random, what is the probability that the
person will have experienced instant relief? I 12.3.3 27. You are dealt 1 card from a standard deck of 52 cards. If A
denotes the event that the card is a spade and if 3 denotes the
event that the card is an ace, determine whether A and B are
independent. 28. You are dealt 2 cards from a standard deck of 52 cards. If A
denotes the event that the ﬁrst card is an ace and 3 denotes the
event that the second card is an ace, determine whether A and B
are independent. 29. An urn contains ﬁve green and six blue balls. You take two
balls out of the urn, one after the other, without replacement. If
A denotes the event that the ﬁrst ball is green and B denotes the
event that the second ball is green, determine whether A and B
are independent. 30. An urn contains four green and three blue balls. You take one
ball out of the urn, note its color, and replace it. You then take
a second ball out of the urn, note its color, and replace it. If A
denotes the event that the ﬁrst ball is green and B denotes the
event that the second ball is green, determine whether A and B
are independent. 31. Assume a 1:1 sex ratio. A family has three children. Find the
probability of the event (a) A = [all children are girls} (b) B = {at least one boy} (c) C = {at least two girls) (d) D = {at most two boys)
32. Assume that 20% of a very common insect species in your
study area is parasitized. Assume that insects are parasitized
independently of each other. If you collect 10 specimens of this
species, what is the probability that no more than 2 specimens in
your sample are parasitized? 33. A multiplechoice question has four choices, and a test has
a total of 10 multiplechoice questions A student passes the test
only if he or she answers all questions correctly. If the student guesses the answers to all questions randomly, ﬁnd the probability
that he or she will pass 34. Assume that A and B are disjoint and that both events have
positive probability. Are they independent? 35. Assume that the probability that an insect species lives more
than ﬁve days is 0.1. Find the probability that, in a sample of size
10 of this species, at least one insect will still be alive after ﬁve
days. 36. (a) Use a Venn diagram to show that (AUB)‘=A”ﬂBc (b) Use your result in (a) to show that if A and B are independent,
then A‘ and B” are independent. (c) Use your result in (b) to show that if A and B are independent,
then P(A U B) =1 — P(A‘)P(B‘)
I 12.3.4 37. A screening test for a disease shows a positive result in 95 °/o
of all cases when the disease is actually present and in 10% of all
cases when it is not. If the prevalence of the disease is 1 in 50 and an
individual tests positive, what is the probability that the individual
actually has the disease? 38. A screening test for a disease shows a positive result in 95%
of all cases when the disease is actually present and in 10% of
all cases when it is not. If a result is positive, the test is repeated.
Assume that the second test is independent of the ﬁrst test. If the
prevalence of the disease is I in 50 and an individual tests positive
twice, what is the probability that the individual actually has the . disease? 39. A bag contains two coins, one fair and thgother with two
heads. You pick one coin at random and ﬂip t\What is the
probability that you picked the fair coin given that the outcome
of the toss was heads? 40. You pick 2 cards from a standard deck of 52 cards. Find the
probability that the ﬁrst card was a spade given that the second
card was a spade. 41. Suppose a woman has a hemophilic brother and one healthy
son. Suppose furthermore that neither her mother nor her father
were hemophilic but that her mother was a carrier for hemophilia.
Find the probability that she is a carrier of the hemophilia gene. The pedigree in Figure 12.23 shows a family in which one member
(III4) is hemophilia. In Problems 42 and 43, refer to this pedigree. 42. (:1) Given the pedigree, ﬁnd the probability that the individ 12.4 I Discrete Random Variables 689 (b) Given the pedigree, ﬁnd the probability that III2 is a carrier
of the hemophilia gene. (e) Given the pedigree, ﬁnd the probability that 112 is a carrier
of the hemophilia gene. ual I2 is a carrier of the hemophilia gene.
(b) Given the pedigree, ﬁnd the probability that 113 is a carrier of the hemophilia gene. 43. (a) Given the pedigree, ﬁnd the probability that 113 is a carrier of the hemophilia gene. Figure 12.23 The pedigree for Problems 42
and 43. The solid black square (individual
III4) represents an afﬂicted male. 3 12.4 Discrete Random Variables and Discrete Distributions ' Outcomes of random experiments frequently are real numbers, such as the number
of heads in a cointossing experiment, the number of seeds produced in a crossing
between two plants, or the life span of an insect. Such numerical outcomes can be
described by random variables. A random variable is a function from the sample
space 9 into the set of real numbers. Random variables are typically denoted by
X, Y, or Z, or other capital letters chosen from the end of the alphabet. For instance, X:SZ—>R describes the random variable X as a map from the sample space S2 into the set of
real numbers. " Random variables are classiﬁed according to their range. If X takes on a discrete
set of values (ﬁnite or inﬁnite), X is called a discrete random variable. If X takes on
a continuous range of values—for instance, values that range over an interval—X is
called a continuous random variable. Discrete random variables are the topic of this
section; continuous random variables are the topic of the next section. 2! 12.4.1 Discrete Distributions In the ﬁrst two examples in this section, we look at random variables that take on a discrete set of values. In the ﬁrst example, this set is ﬁnite; in the second example, the
set is inﬁnite. Toss a fair coin three times. Let X be a random variable that counts the number of
heads in each outcome. The sample space is $2 = {HHH, HHT, HTH, THH, HTT, THT, TTH, TTT) and the random variable
X : $2 —> R
takes on values 0, 1, 2, or 3. For instance, X(HHH)=3 or X(TTH)=1 or X(TTT)=0 l Toss a fair coin repeatedly until the ﬁrst time heads appears Let Y be a random
variable that counts the number of trials until the ﬁrst time heads shows up. The
sample space is $2 = {H, TH, TTH, TTTII, . ..} ...
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This note was uploaded on 02/17/2012 for the course MATH 17C taught by Professor Lewis during the Summer '09 term at UC Davis.
 Summer '09
 Lewis

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