Test 1 Flashcards

1
Q

Example 1. In a certain state, license plates have six characters that mayinclude letters and numerals. How many different license plates can be pro-duced if:

(a) Letters and numerals can be repeated?
(b) Each letter and numeral can be used at most once?
(c) The license plate must have a letter as its first character and eachletter or numeral can be used at most once?

A

(a) 2,176,782,336
(b) 1,402,410,240
(c) 1,012,851,840

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2
Q

Example 2. A teacher has 24 students in a classroom. For a group project, he decides to divide the students into four groups A, B, C, and D, of equal size. In how many ways can this be done?

A

2.31∗1012

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3
Q

Example 3. A package of eight light bulbs contains three defective lightbulbs. If two bulbs are randomly selected for use, find the probability that neither one is defective.

A

0.357

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4
Q

Example 4. A student is given a true-false test with ten questions. If shegets seven or more correct, she passes. Suppose that she guesses for eachquestion.

(a) What is the probability that she passes the test?
(b) What is the probability that she fails the test?

A

(a) 0.172

(b) 0.828

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5
Q

Example 5. Six employees of a firm are ranked from 1 to 6 in their abili-ties to fix problems with desktop computers. Three of these employees arerandomly selected to service three desktop computers. If all possible choicesof three out of the six are equally likely, find the probabilities for each of thefollowing events:

(a) The employee ranked number 1 is selected.
(b) The bottom three employees(4, 5, and 6) are selected.
(c) The highest-ranked employee among those selected has rank 3 or lower.

A
  1. 50
  2. 05
  3. 20
  4. 20
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6
Q

Example 6. In poker, each player is dealt five cards. What is the proba-bility of obtaining the following on the initial deal?

(a) Royal flush (ace, king, queen, jack, ten, all of the same suit)
(b) Straight flush (five cards in sequence all of the same suit)
(c) Four of a kind (four cards of the same rank)
(d) Full house (three cards of one rank, two cards of another rank)
(e) Three of a kind (three cards of the same rank, plus two other cardswhich are of different ranks)
(f) Two pairs (two sets of two cards of the same rank)
(g) One pair (two cards of equal rank)

A
4/2,598,960
36/2,598,960
624/2,598,960
3,744/2,598,960
54,912/2,598,960
123,552/2,598,960
1,098,240/2,598,960
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7
Q

A combination lock was left at a fitness center. The correct combination is a three-digit number d1d2d3, where di, i = 1, 2, 3, is selected from 0, 1, 2, 3,…, 9. How many different lock combinations are possible with such a lock?

A

1000

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8
Q

How many different license plates are possible if a state uses

(a) Two letters followed by a four-digit integer (leading zeros are permissible and the letters and digits can be repeated)?
(b) Three letters followed by a three-digit integer? (In practice, it is possible that certain “spellings” are ruled out.)

A

(a) 6,760,000; (b) 17,576,000

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9
Q

How many four-letter code words are possible using the letters in IOWA if

(a) The letters may not be repeated?
(b) The letters may be repeated?

A

(a) 24; (b) 256

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10
Q

In a state lottery, four digits are drawn at random one at a time with replacement from 0 to 9. Suppose that you win if any permutation of your selected integers is drawn. Give the probability of winning if you select

(a) 6, 7, 8, 9.
(b) 6, 7, 8, 8.
(c) 7, 7, 8, 8.
(d) 7, 8, 8, 8.

A

(a) 0.0024; (b) 0.0012; (c) 0.0006; (d) 0.0004

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11
Q

The World Series in baseball continues until either the American League team or the National League team wins four games. How many different orders are possible (e.g., ANNAAA means the American League team wins in six games) if the series goes

(a) Four games?
(b) Five games?
(c) Six games?
(d) Seven games?

A

(a) 2; (b) 8; (c) 20; (d) 40

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12
Q

Three students (S) and six faculty members (F) are on a panel discussing a new college policy.

(a) In how many different ways can the nine participants be lined up at a table in the front of the auditorium?
(b) How many lineups are possible, considering only the labels S and F?
(c) For each of the nine participants, you are to decide whether the participant did a good job or a poor job stating his or her opinion of the new policy; that is, give each of the nine participants a grade of G or P. How many different “scorecards” are possible?

A

(a) 362,880; (b) 84; (c) 512

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13
Q

A bridge hand is found by taking 13 cards at random and without replacement from a deck of 52 play-ing cards. Find the probability of drawing each of the following hands.

(a) One in which there are five spades, four hearts, three diamonds, and one club.
(b) One in which there are five spades, four hearts, two diamonds, and two clubs.
(c) One in which there are five spades, four hearts, one diamond, and three clubs.
(d) Suppose you are dealt five cards of one suit, four cards of another. Would the probability of having the other suits split 3 and 1 be greater than the probability of having them split 2 and 2?

A

(a) 0.00539; (b) 0.00882; (c) 0.00539; (d) Yes.

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14
Q

?

A
  1. 2917

0. 00622

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15
Q

Example 1. Consider flipping a coin four times. Let the random variable X denote the number of times heads was obtained.

(a) Find the pmf function of X.
(b) Sketch the histogram for this pmf.
(c) Find the cdf function of X.
(d) FindE(X)
(e) Find Var(X) and σ(X).

A

Lesson B

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16
Q
Example 2.  Consider rolling two three-sided dice.  Let Die A has the numbers 1, 1, 2. Let Die B has the numbers 1, 2, 3.  Let the random variable X
denote the total.
(a) Find the pmf function of X.
(b) Sketch the histogram for this pmf
(c) Find the cdf function of X.
(d) Find E(X).
(e) Find Var(X) and σ(X).
A

Lesson B

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17
Q

Example 3. Letf(x) = (4−x)/c for x= 0,1,2,3.
(a) Find c so that f(x) is a pmf.
(b) Sketch the histogram for this pmf.
(c) Find the cdf function of X.
(d) FindE(X).
(e) Find Var(X) and σ(X).
(f) Suppose this function represents the number of hours performing a task. Suppose that the base pay if $50. You also get an additional $30 per
hour for each of the first two hours worked, and an additional $40 if the third hour is worked. What is your expected payment? What is the variance and standard deviation?

A

Lesson B

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18
Q

Example 4. PMF (X is the total of dice, (1, 1, 2) and (1, 2, 3) Using the dice from Example 2, suppose that you lose $2if the total of the two dice is 2, lose $1 if the total of the two dice is 3, win$1 if the total is 4, and win $2 if the total is 5.

(a) What are the expected winnings? Is this a good game?
(b) Compute the variance and standard deviation.

A

Lesson B

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19
Q

Example 5. Using the dice from Example 2, suppose that you lose $10if the total of the two dice is 2, lose $5 if the total of the two dice is 3, win$5 if the total is 4, and win $18 if the total is 5.

(a) What are the expected winnings? Is this a good game?
(b) Compute the variance and standard deviation.

A

Lesson B

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20
Q

Let the pmf of X be defined by f(x) = x/9, x = 2, 3, 4.

(a) Draw a bar graph for this pmf.
(b) Draw a probability histogram for this pmf

A

2.1

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21
Q

For each of the following, determine the constant c so that f(x) satisfies the conditions of being a pmf for a random variable X, and then depict each pmf as a bar graph:

(a) f(x) = x/c, x = 1, 2, 3, 4.
(b) f(x) = cx, x = 1, 2, 3,…, 10
(d) f(x) = c(x + 1)^2, x = 0, 1, 2, 3.

A

(a) 10; (b) 1/55; (d) 1/30;

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22
Q

The pmf of X is f(x) = (5 − x)/10, x = 1, 2, 3, 4. (a) Graph the pmf as a bar graph.

A

2.1

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23
Q

Let a random experiment be the casting of a pair of fair six-sided dice and let X equal the smaller of the out-comes if they are different and the common value if they are equal.

(a) With reasonable assumptions, find the pmf of X.
(b) Draw a probability histogram of the pmf of X.
(c) Let Y equal the range of the two outcomes (i.e., the absolute value of the difference of the largest and the smallest outcomes). Determine the pmf g(y)of Y for y = 0, 1, 2, 3, 4, 5.
(d) Draw a probability histogram for g(y)

A

2.1-7

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24
Q

Let the pmf of X be defined by f(x) = (1+|x−3|)/ 11, x = 1, 2, 3, 4, 5. Graph the pmf of X as a bar graph

A

2.1

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25
Q

Find E(X)

(a) f(x) = x/10, x = 1, 2, 3, 4.
(b) f(x) = (1/55)x, x = 1, 2, 3,…, 10
(d) f(x) = (1/30)(x + 1)^2, x = 0, 1, 2, 3.

A

(a) 3; (b) 7; (d) 7/3;

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26
Q

Let the random variable X be the number of days that a certain patient needs to be in the hospital. Suppose X has the pmf

f(x) = (5 − x)/10 , x = 1, 2, 3, 4

If the patient is to receive $200 from an insurance company for each of the first two days in the hospital and $100 for each day after the first two days, what is the expected payment for the hospitalization?

A

$360

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27
Q

In the gambling game chuck-a-luck, for a $1 bet it is possible to win $1, $2, or $3 with respective probabilities 75/216, 15/216, and 1/216. One dollar is lost with probability 125/216. Let X equal the payoff for this game and find E(X). Note that when a bet is won, the $1 that was bet, in addition to the $1, $2, or $3 that is won, is returned to the bettor

A

E(X) =−17/216 =−$0.0787

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28
Q

A roulette wheel used in an American casino has 38 slots, of which 18 are red, 18 are black, and two are green. A roulette wheel used in a French casino has 37 slots, of which 18 are red, 18 are black, and one is green. A ball is rolled around the wheel and ends up in one of the slots with equal probability. Suppose that a player bets on red. If a $1 bet is placed, the player wins $1 if the ball ends up in a red slot. (The player’s $1 bet is returned.) If the ball ends up in a black or green slot, the player loses $1. Find the expected value of this game to the player in

(a) The United States.
(b) France.

A

(a) −$1/19; (b) −$1/37.

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29
Q

In the gambling game craps (see Exercise 1.3-13), the player wins $1 with probability 0.49293 and loses $1 with probability 0.50707 for each $1 bet. What is the expected value of the game to the player?

A

−$0.01414.

30
Q

Find the variance and standard deviation

(a) f(x) = x/10, x = 1, 2, 3, 4.
(b) f(x) = (1/55)x, x = 1, 2, 3,…, 10
(d) f(x) = (1/30)(x + 1)^2, x = 0, 1, 2, 3.

E(X) = (a) 3; (b) 7; (d) 7/3;

A

Section 2.3 Homework Solutions

31
Q

Example 1. Suppose the probability of passing Dr. M’s upcoming statistics exam is 80%. In a sample of three students, what is the probability that:

(a) no students pass the exam?
(b) exactly one student passes the exam?
(c) exactly two students pass the exam?
(d) all three students pass the exam?
(e) Construct a histogram for the pmf of this probability distribution where the random variable X denotes the number of students who passed.
(f) Find E(X), Var(X), and σ(X) of this probability distribution.

A
  1. 008
  2. 096
  3. 384
  4. 512

Var(X) =np(1−p) = 3(0.8)(1−0.8) = 0.48
σ(X) =√Var(X) =√0.48≈0.69

32
Q

Example 2. In a recent survey, 25% of people said that they are satisfied with the economy. In a sample of six people, what is the probability that:
(a) exactly four of them are satisfied with the economy?
(b)at most two of them are satisfied with the economy?
(c)at least three of them are satisfied with the economy?
(d)at least five of them are satisfied with the economy?
(e)at most four of them are satisfied with the economy?
(f) Find the expected value, variance, and standard deviation of this
probability distribution.

A
  1. 033
  2. 831
  3. 169
  4. 0046
  5. 9954

Var(X) =np(1−p) = 6(0.25)(1−0.25) = 1.125.
σ(X) =√Var(X) =√1.125≈1.06

33
Q

Example 3. Each day, a large animal clinic schedules 10 horses to be tested for a common respiratory disease. The cost of each test is $80. The probability of a horse having the disease is 0.1. If the horse has the disease,the treatment costs $500.

(a) What is the probability that at least one horse will be diagnosed with the disease on a randomly selected day?
(b) What is the expected daily revenue that the clinic earns from testing horses with the disease and treating those that are sick?

A

0.65

$800 + $500 = $1300

34
Q

Example 4. A complex electronic system is built with a certain number of backup components in its subsystems. One subsystem has four identical components, each with a probability of 0.85 of lasting longer than 1000hours. The subsystem will operate if any two or more of the four components are operating. Assuming the components operate independently:

(a) Find the probability that exactly two of the four components last longer than 1000 hours.
(b) Find the probability that the system operates for longer than 1000 hours.
(c) Find E(X), Var(X), and σ(X).

A
  1. 098
  2. 988

Var(X) =np(1−p) = 4(0.85)(0.15) = 0.51.
σ(X) =√Var(X) =√0.51≈0.714.

35
Q

On a six-question multiple-choice test there are five possible answers for each question, of which one is correct (C) and four are incorrect (I). If a student guesses randomly and independently, find the probability of

(a) Being correct only on questions 1 and 4 (i.e., scoring C, I, I, C, I, I)
(b) Being correct on two questions.

A

(a) (1/5)2(4/5)4 = 0.0164;

(b) 6! 2!4! (1/5)2(4/5)4 = 0.2458;

36
Q

It is claimed that 15% of the ducks in a particular region have patent schistosome infection. Suppose that seven ducks are selected at random. Let X equal the number of ducks that are infected.

(a) Assuming independence, how is X distributed?
(b) Find (i) P(X ≥ 2), (ii) P(X = 1), and (iii) P(X ≤ 3).

A

a. ) binomial(7,0.15)
b. ) (i)P(X≥2) = 1−P(X≤1) = 1−0.7166 = 0.2834
(ii) P(X= 1) = 0.3960
(iii) P(X≤3) = 0.9879

37
Q

In a lab experiment involving inorganic syntheses of molecular precursors to organometallic ceramics, the final step of a five-step reaction involves the formation of a metal–metal bond. The probability of such a bond forming is p = 0.20. LetXequal the number of successful reactions out of n = 25 such experiments. (a) Find the probability that X is at most 4.

(b) Find the probability that X is at least 5.
(c) Find the probability that X is equal to 6.
(d) Give the mean, variance, and standard deviation of X.

A

(a) 0.4207;
(b) 0.5793;
(c) 0.1633;
(d) μ = 5, σ2 = 4, σ = 2.

38
Q

It is believed that approximately 75% of American youth now have insurance due to the health care law. Suppose this is true, and let X equal the number of American youth in a random sample of n = 15 with private health insurance.

(a) How is X distributed?
(b) Find the probability that X is at least 10.
(c) Find the probability that X is at most 10.
(d) Find the probability that X is equal to 10.
(e) Give the mean, variance, and standard deviation of X

A

a.) binomial(15,0.75)
b.)P(X≥10) = 0.8516
c.)P(X≤10) = 0.3135
d.)P(X= 10) = 0.1651
e.)E(X) = 11.25,
Var(X) = 2.8125,σ(X) = 1.67705

39
Q

Suppose that 2000 points are selected independently and at random from the unit square {(x, y): 0 ≤ x < 1, 0 ≤ y < 1}. Let W equal the number of points that fall into A ={(x, y): x2 + y2 < 1}.

(a) How is W distributed?
(b) Give the mean, variance, and standard deviation of W

A

(a) b(2000,π/4); (b) 1570.796, 337.096, 18.360;

40
Q

Suppose that the percentage of American drivers who multitask (e.g., talk on cell phones, eat a snack, or text at the same time they are driving) is approximately 80%. In a random sample of n = 20 drivers, let X equal the number of multitaskers.
(a) How is X distributed?
(b) Give the values of the mean, variance, and standard
deviation of X.
(c) Find (i) P(X = 15), (ii) P(X > 15), and (iii) P(X ≤ 15).

A

(a) b(20, 0.80); (b) μ = 16, σ2 = 3.2, σ = 1.789; (c) (i) 0.1746, (ii) 0.6296, (iii) 0.3704

41
Q

Your stockbroker is free to take your calls about 60% of the time; otherwise, he is talking to another client or is out of the office. You call him at five random times during a given month. (Assume independence.)

(a) What is the probability that he will take every one of the five calls?
(b) What is the probability that he will accept exactly three of your five calls?
(c) What is the probability that he will accept at least one of the calls?

A

(a) 0.0778; (b) 0.3456; (c) 0.9898.

42
Q

Example 1. A group of four men and six women draw from ten straws todetermine who will have to work on Saturday. If a person draws one of thetwo short straws, they will be required to work Saturday.

(a) What is the probability that neither of the short straws are drawn by men?
(b) What is the probability that exactly one of the short straws is drawn by a man?
(c) What is the probability that both of the short straws are drawn by men?
(d) Let the random variable X denote the number of short straws drawn by men. Graph a histogram of the pmf.
(e) Find E(X), Var(X), and σ(X)

A
  1. 33
  2. 53
  3. 13

Var(X) =0.427
σ(X) =0.653

43
Q

Example 2. A small company has 25 employees, of whom 8 are single and the other 17 are married. The owner of the company selects five people to be on a committee.Note: Let the random variable X denote the number of single employees on the committee. Observe thatN1= 8,N2= 17,N= 25, and n= 5.
(a) What is the probability that only single employees are chosen for the
committee?
(b) What is the probability that only married employees are chosen for the committee?
(c) What is the probability that two single people and three married people are chosen for the committee?
(d) Let the random variable X denote the number of single employees chosen. Find E(X), Var(X), and σ(X).

A
  1. 001
  2. 116
  3. 358
E(X) = 1.6
Var(X) = .907
σ(X) = .952
44
Q

Example 3. The pool of qualified jurors for a case has 10 people who are high school educated, 9 who have a Bachelor’s degree, 4 with a Master’s degree, and 2 with a Ph.D. From these, 12 people will be selected to serve on the jury.
(a) What is the probability than exactly five of the high school educated people will be selected to serve on the jury?
(b) Let the random variable X denote the number of high school educated people selected to serve on the jury. Find E(X), Var(X), and σ(X)
(c) What is the probability that exactly two of those with a Bachelor’s degree will be selected to serve on the jury?
Let the random variable Y denote the number of qualified jurors with a Bachelor’s degree selected to serve on the jury. Find E(Y), Var(Y),andσ(Y).
(e) What is the probability that no one with a Master’s or Ph.D. will be selected to serve on the jury?
(f) Let the random variable Z denote the number people with a Master’s degree or Ph.D. selected to serve on the jury. Find E(Z), Var(Z), and σ(Z)

A

0.312

E(X) = 4.8
Var(X) = 1.56
σ(X) = 1.25

0.055

E(Y) = 4.32
Var(Y) = 1.4976
σ(Y) = 1.22

0.0097

E(Z) = 2.88
Var(Z) = 1.1856
σ(Z) = 1.09
45
Q

Example 4. A student has 20 batteries in a drawer. Of those 20 batteries, 13 of them are good. She grabs five batteries from the drawer to put in her calculator.Note: Let the random variable X denote the number of good batteries chosen. Observe that N1= 13, N2= 7, N= 20, and n= 5.(a) What is the probability that she will get at least one good battery?
(b) Let the random variable X denote the number of good batteries chosen. Find E(X), Var(X), andσ(X).

A

0.9986

E(X) = 3.25
Var(X) = .4789
σ(X) = 0.692
46
Q
In a lot (collection) of 100 light bulbs, there are five bad bulbs. An inspector inspects ten bulbs selected at random. Find the probability of finding at least one defective bulb. HINT: First compute the probability of finding no defectives in the sample
Find E(X) and Var(X).
A

0.416

E(X) = .5
Var(X)  = .4318
47
Q
A professor gave her students six essay questions from which she will select three for a test. A student has time to study for only three of these questions. What is the probability that, of the questions studied, (a) at least one is selected for the test? (b) all three are selected? (c) exactly two are selected
Find E(X) and Var(X).
A

(a) 19/20; (b) 1/20; (c) 9/20.

E(X) = 1.5
Var(X) = .45
48
Q
When a customer buys a product at a supermar-ket, there is a concern about the item being underweight. Suppose there are 20 “one-pound” packages of frozen ground turkey on display and three of them are under-weight. A consumer group buys five of the 20 packages at random. What is the probability that at least one of the five is underweight
Find E(X) and Var(X).
A

137/228

E(X) = .75
Var(X) = 0.5032
49
Q

In the Michigan lottery game, LOTTO 47, the state selects six balls randomly out of 47 numbered balls. The player selects six different numbers out of the first 47 pos-itive integers. Prizes are given for matching all six numbers (the jackpot), five numbers ($2500), four numbers ($100), and three numbers ($5.00). A ticket costs $1.00 and this dollar is not returned to the player. Find the probabil-ities of matching (a) six numbers, (b) five numbers, (c) four numbers, and (d) three numbers. (e) What is the expected value of the game to the player if the jackpot equals $1,000,000? (f) What is the expected value of the game to the player if the jackpot equals $2,000,000?

A

a) 1/10,737,573; (b) 82/3,579,191; (c) 4100/3,579,191; (d) 213,200/10,737,573; (e) $ –0.636; (f) $ –0.543.

50
Q

Forty-four states, Washington D.C., and the Virgin Islands have joined for the Mega Millions lottery game. For this game the player selects five white balls numbered from 1 to 70, inclusive, plus a single gold Mega Ball num-bered from 1 to 25, inclusive. There are several different prize options including the following. (a) What is the probability of matching all five white balls plus the Mega Ball and winning the jackpot? (b) What is the probability of matching five white balls but not the Mega Ball and winning $1,000,000? (c) What is the probability of matching four white balls plus the Mega Ball and winning $10,000? (d) What is the probability of matching four white balls but not the Mega Ball and winning $500? (e) What is the probability of matching the MegaBall only and winning $2?

A

a. )1/302,575,350
b. )24/302,575,350
c. )325/302,575,350
d. )7,800/302,575,350
e. )8,259,888/302,575,350

51
Q
Suppose there are three defective items in a lot (collection) of 50 items. A sample of size ten is taken at random and without replacement. Let X denote the num-ber of defective items in the sample. Find the probability that the sample contains (a) Exactly one defective item. (b) At most one defective item. 
Find E(X) and Var(X).
A

(a) 2.681; (b) n = 6

E(X) = .6
Var(X) = .4604
52
Q

Example 1. The employee of a firm that does asbestos cleanup are be-ing tested for indications of asbestos in their lungs. The firm is asked tosend four employees who have positive indications of asbestos to a clinic.Suppose 40% of the employees have positive indications of asbestos. Let the random variableXdenote the number of employees who are tested forasbestos until finding four employees with positive indications of asbestos.(a)Find the probability that six employees who do not have asbestos intheir lungs must be tested before finding four who have positive indications of asbestos
(b)Find E(X), Var(X), and σ(X).

A

0.1003
10
15
3.87

53
Q

Example 2. We want to test people to see if they have blood type O−since they are known as universal donors. Suppose 9% of people have O−blood.(a)Find the probability that the first O−donor is found when typ-ing the sixth
donor.
(b)Find the probability that the secondO−donor is the sixth donor ofthe day.
(c)Let the random variableYdenote the number of people tested untiltyping two people withO−blood. FindE(Y),V ar(Y), andσ(Y).

A
.056
.028
22.2
224.69
14.99
54
Q

Example 3. An interviewer is given a list of candidates that she can inter-view. Suppose that she needs to interview five people. Also suppose thatthe probability that a person agrees to be interviewed is 0.6. Let the randomvariableXdenote the number of candidates that she asks to be interviewedin order to obtain five people who agree to be interviewed.(a)What is the probability that she will be able to obtain five peo-ple to be interviewed by asking no more than seven candidates?
b)FindE(X),V ar(X), andσ(X).

A

.42

  1. 33
  2. 56
  3. 36
55
Q

Example 4. A child wins a video game 30% of the times played. Hedecides to play four games. However, if he loses the fourth game, he willcontinue to play until he wins a game.(a)Let the random variableXdenote the number of games that thechild will play. FindE(X).
b)Let the random variableYdenote the number of games that thechild will win. FindE(Y)

A
  1. 33

1. 9

56
Q

Suppose that 90% of engines manufactured on a certain assembly lineare nondefective (i.e. 10% are defective). Engines randomly selected one ata time are tested.(a) Find the probability that the first nondefective engine is found whenthe third engine is tested.(b) Find the probability that the fifth nondefective engine is tested whenthe seventh engine is tested.(c) Find the probability that the fifth nondefective engine is tested whenthe tenth engine is tested.(d) Let the random variableXdenote the number of engines that aretested until the fifth nondefective engine is found. FindE(X) and Var(X).

A

a.) 0.009b.) 0.089c.) 7.44x10−4d.)E(X) = 5.56, Var(X) = 0.62

57
Q

A geological study indicates that an exploratory oil well drilled in acertain region should strike oil with probability 0.25.(a) Find the probability that the first strike of oil comes one the fourthdrill.(b) Find the probability that the third strike of oil comes on the tenthdrill.(c) Let the random variableXdenote the number of drills needed untilthe third strike of oil. FindE(X) and Var(X).

A

a.) 0.105b.) 0.075c.)E(X) = 12, Var(X) = 36

58
Q

A large lot of tires contains 5% defectives. Tires are chosen randomlyand one at a time.(a) Find the probability that two defective tires are found before fourgood tires are found. (Hint: On which choice must the fourth good tire bechosen?)(b) Let the random variableXdenote the number of choices needed toselect four good tires. FindE(X) and Var(X).

A

a.) 0.02b.)E(X) = 4.21, Var(X) = 0.222

59
Q

A car salesman is told that he must make three sales each day. Thesalesman believes that if he visits with a customer, the probability that thecustomer will purchase a car is 0.2.(a) What is the probability that the salesman will have to visit exactlyfive customers in order to make three sales?(b) What is the probability that the salesman will have to visitat leastfive customers in order to make three sales?(c) Let the random variableXdenote the number of customers that thesalesman must visit in order to make three sales. FindE(X) and Var(X).

A

a.) 0.03072b.) 0.9728c.)E(X) = 15, Var(X) = 60

60
Q

Alice and Bonnie agree to play a series of golf matches. The first one towin three matches is declared the overall winner. Alice has a 60% chance ofwinning each golf match and the outcome of each match is independent ofthe outcome of the previous matches.(a) Find the probability that Alice win the series inimatches fori=3,4,5.(b) What is the expected number of matches that Alice and Bonnie mustplay in order for Alice to win three matches?

A

a.)i= 3: 0.216;i= 4: 0.2592;i= 5: 0.20736b.)E(X) = 5

61
Q

The probability of Charlie passing a statistics test is 70%. He decides totake the test five times. However, if he fails the test the fifth time he takesit, he will continue to take the test until he passes it.(a) Let the random variableXdenote the number of times Charlie willtake the test. FindE(X).(b) Let the random variableYdenote the number of times Charlie willpass the test. FindE(Y).

A

a.)E(X) = 5.43b.)E(Y) = 3.8

62
Q

Example 1. The number of calls coming into a hotel’s reservation cen-ter averages three per minute.(a)Find the probability that no call will arrive in a given 1-minuteperiod.

(b) Find the probability that one call will arrive in a given 1-minuteperiod
(c) Find the probability that at least two calls will arrive in a given1-minute period.
d) Find the probability that at least two calls will arrive in a given2-minute period

A

.05
.15
.80
.98

63
Q

Example 2. A certain type of copper wire has a mean of 0.5 flaws permeter.

(a) Find the probability of having at least one flaw in a meter of copperwire.
(b) Find the probability of having at least one flaw in a 5-meter lengthof copper wire.
(c) Suppose it costs $8 to repair each flaw in a copper wire. Find theexpected value, variance, and standard deviation of the distribution of re-pair costs for a 10-meter length of wire.

A
.39
.918
5
50 - $400
$56.56
64
Q

Example 3. A radioactive source emits a mean of four particles per hour.(a)Find the probability that the number of emitted particles in a givenhour is at least 6.

(b) Find the probability that the number of emitted particles in a givenhour is at most 3.
(c) Find the probability that no particles will be emitted in a given 24-hour period

A

.215
.433
2.03X10^-42`

65
Q

Let X have a Poisson distribution with a mean of 4. Find (a) P(3 ≤ X ≤ 5). (b) P(X ≥ 3). (c) P(X ≤ 3).

A

(a) 0.547; (b) 0.762; (c) 0.433.

66
Q

Suppose that the probability of suffering a side effect from a certain flu vaccine is 0.005. If 1000 persons are inoculated, approximate the probability that
(a) At most one person suffers. (b) Four, five, or six persons suffer.

A

a. ) 0.040

b. ) 0.497

67
Q

Customers arrive at a travel agency at a mean rate of 11 per hour. Assuming that the number of arrivals per hour has a Poisson distribution, give the probability that more than ten customers arrive in a given hour.

A

0.540.

68
Q

Flaws in a certain type of drapery material appear on the average of one in 150 square feet. If we assume a Poisson distribution, find the probability of at most one flaw appearing in 225 square feet.

A

0.558

69
Q

Customers arrive at a checkout counter in a department store with anaverage of 7 per hour. For a given hour, find the probabilities that:a.) Exactly 8 customers arrive.b.) No more than five customers arrive.c.) At least six customers arrive.d.) Exactly 15 customers arrive between 2:00pm and 4:00pm

A

a. ) 0.13
b. ) 0.301
c. ) 0.699
d. ) 0.0989

70
Q

Suppose that in the woods, the mean number of grasshoppers is two per square yard. Find a given square yard, find the probabilities that:a.) There are exactly three grasshoppers in a square yard.b.) There are at most two grasshoppers in a square yard.c.) There are at least three grasshoppers in a square yard.d.) There are exactly seven grasshoppers in a 6ft by 6ft area.

A

a. ) 0.18
b. ) 0.677
c. ) 0.323
d. ) 0.14