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4.4 Problems on Independence of Events

Product-rule calculations for independent events, from reliability of series and parallel systems to repeated trials, with minterm maps doing the bookkeeping.

Applied Probability, 4.4 Problems on Independence of Events

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46 exercises

4.4 Exercise 1

The minterms generated by the class {A,B,C}\left\{A , B , C\right\} have minterm probabilities

p m = [ 0 . 15 0 . 05 0 . 02 0 . 18 0 . 25 0 . 05 0 . 18 0 . 12 ] p m = \left[0 . 15 0 . 05 0 . 02 0 . 18 0 . 25 0 . 05 0 . 18 0 . 12\right]

Show that the product rule holds for all three, but the class is not independent.

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4.4 Exercise 6

Minterm probabilities p(0)p \left(0\right) through p(15)p \left(15\right) for the opinion survey in Example 4 from "Minterms" are

pm=[0.0850.1950.0350.0850.0800.2000.0350.085 0.0200.0500.0100.0200.0200.0500.0150.015]p m = \left[0 . 085 0 . 195 0 . 035 0 . 085 0 . 080 0 . 200 0 . 035 0 . 085 0 . 020 0 . 050 0 . 010 0 . 020 0 . 020 0 . 050 0 . 015 0 . 015\right]

Show whether or not the class {A,B,C,D}\left\{A , B , C , D\right\} is independent.

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4.4 Exercise 7

The class {A,B,C}\left\{A , B , C\right\} is independent, with P(A)=0.30P \left(A\right) = 0 . 30, P(BcC)=0.32P \left(B^{c} C\right) = 0 . 32, and P(AC)=0.12P \left(A C\right) = 0 . 12. Determine the minterm probabilities.

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4.4 Exercise 8

The class {A,B,C}\left\{A , B , C\right\} is independent, with P(A∪B)=0.6P \left(A \cup B\right) = 0 . 6, P(A∪C)=0.7P \left(A \cup C\right) = 0 . 7, and P(C)=0.4P \left(C\right) = 0 . 4. Determine the probability of each minterm.

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4.4 Exercise 9

A pair of dice is rolled five times. What is the probability the first two results are “sevens” and the others are not?

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4.4 Exercise 10

David, Mary, Joan, Hal, Sharon, and Wayne take an exam in their probability course. Their probabilities of making 90 percent or more are

0.720.830.750.920.650.790 . 72 0 . 83 0 . 75 0 . 92 0 . 65 0 . 79

respectively. Assume these are independent events. What is the probability three or more, four or more, five or more make grades of at least 90 percent?

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4.4 Exercise 11

Two independent random numbers between 0 and 1 are selected (say by a random number generator on a calculator). What is the probability the first is no greater than 0.33 and the other is at least 57?

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4.4 Exercise 12

Helen is wondering how to plan for the weekend. She will get a letter from home (with money) with probability 0.05. There is a probability of 0.85 that she will get a call from Jim at SMU in Dallas. There is also a probability of 0.5 that William will ask for a date. What is the probability she will get money and Jim will not call or that both Jim will call and William will ask for a date?

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4.4 Exercise 13

A basketball player takes ten free throws in a contest. On her first shot she is nervous and has probability 0.3 of making the shot. She begins to settle down and probabilities on the next seven shots are 0.5, 0.6 0.7 0.8 0.8, 0.8 and 0.85, respectively. Then she realizes her opponent is doing well, and becomes tense as she takes the last two shots, with probabilities reduced to 0.75, 0.65. Assumi…

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4.4 Exercise 14

In a group there are M men and W women; m of the men and w of the women are college graduates. An individual is picked at random. Let A be the event the individual is a woman and B be the event he or she is a college graduate. Under what condition is the pair {A,B}\left\{A , B\right\} independent?

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4.4 Exercise 15

Consider the pair {A,B}\left\{A , B\right\} of events. Let P(A)=pP \left(A\right) = p, P(Ac)=q=1-pP \left(A^{c}\right) = q = 1 - p, P(B|A)=p1P \left(\right. B \left|\right. A \left.\right) = p_{1}, and P(B|Ac)=p2P \left(\right. B \left|\right. A^{c} \left.\right) = p_{2}. Under what condition is the pair {A,B}\left\{A , B\right\} independent?

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4.4 Exercise 16

Show that if event A is independent of itself, then P(A)=0P \left(A\right) = 0 or P(A)=1P \left(A\right) = 1. (This fact is key to an important “zero-one law.”)

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4.4 Exercise 17

Does {A,B}\left\{A , B\right\} independent and {B,C}\left\{B , C\right\} independent imply {A,C}\left\{A , C\right\} is independent? Justify your answer.

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4.4 Exercise 18

Suppose event A implies B (i.e. A⊂BA \subset B). Show that if the pair {A,B}\left\{A , B\right\} is independent, then either P(A)=0P \left(A\right) = 0 or P(B)=1P \left(B\right) = 1.

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4.4 Exercise 19

A company has three task forces trying to meet a deadline for a new device. The groups work independently, with respective probabilities 0.8, 0.9, 0.75 of completing on time. What is the probability at least one group completes on time? (Think. Then solve “by hand.”)

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4.4 Exercise 20

Two salesmen work differently. Roland spends more time with his customers than does Betty, hence tends to see fewer customers. On a given day Roland sees five customers and Betty sees six. The customers make decisions independently. If the probabilities for success on Roland's customers are 0.7,0.8,0.8,0.6,0.70 . 7 , 0 . 8 , 0 . 8 , 0 . 6 , 0 . 7 and for Betty's customers are 0.6,0.5,0.4,0.6,0.6,0.40 . 6 , 0 . 5 , 0 . 4 , 0 . 6 , 0 . 6 , 0 . 4, what is the probability Roland makes more sales than Betty? What is the p…

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4.4 Exercise 21

Two teams of students take a probability exam. The entire group performs individually and independently. Team 1 has five members and Team 2 has six members. They have the following indivudal probabilities of making an `”A” on the exam.

Team 1: 0.83 0.87 0.92 0.77 0.86 Team 2: 0.68 0.91 0.74 0.68 0.73 0.83

  1. What is the probability team 1 will make at least as many A's as team 2?
  2. What…
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4.4 Exercise 22

A system has five components which fail independently. Their respective reliabilities are 0.93, 0.91, 0.78, 0.88, 0.92. Units 1 and 2 operate as a “series” combination. Units 3, 4, 5 operate as a two of three subsytem. The two subsystems operate as a parallel combination to make the complete system. What is reliability of the complete system?

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4.4 Exercise 23

A system has eight components with respective probabilities

0 . 96 0 . 90 0 . 93 0 . 82 0 . 85 0 . 97 0 . 88 0 . 80 0 . 96 0 . 90 0 . 93 0 . 82 0 . 85 0 . 97 0 . 88 0 . 80

Units 1 and 2 form a parallel subsytem in series with unit 3 and a three of five combination of units 4 through 8. What is the reliability of the complete system?

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4.4 Exercise 24

How would the reliability of the system in the exercise change if units 1, 2, and 3 formed a parallel combination in series with the three of five combination?

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4.4 Exercise 25

How would the reliability of the system in the exercise change if the reliability of unit 3 were changed from 0.93 to 0.96? What change if the reliability of unit 2 were changed from 0.90 to 0.95 (with unit 3 unchanged)?

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4.4 Exercise 26

Three fair dice are rolled. What is the probability at least one will show a six?

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4.4 Exercise 27

A hobby shop finds that 35 percent of its customers buy an electronic game. If customers buy independently, what is the probability that at least one of the next five customers will buy an electronic game?

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4.4 Exercise 28

Under extreme noise conditions, the probability that a certain message will be transmitted correctly is 0.1. Successive messages are acted upon independently by the noise. Suppose the message is transmitted ten times. What is the probability it is transmitted correctly at least once?

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4.4 Exercise 29

Suppose the class {Ai:1≤i≤n}\left\{A_{i} : 1 \leq i \leq n\right\} is independent, with P(Ai)=piP \left(A_{i}\right) = p_{i}, 1≤i≤n1 \leq i \leq n. What is the probability that at least one of the events occurs? What is the probability that none occurs?

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4.4 Exercise 30

In one hundred random digits, 0 through 9, with each possible digit equally likely on each choice, what is the probility 8 or more are sevens?

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4.4 Exercise 31

Ten customers come into a store. If the probability is 0.15 that each customer will buy a television set, what is the probability the store will sell three or more?

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4.4 Exercise 32

Seven similar units are put into service at time t=0t = 0. The units fail independently. The probability of failure of any unit in the first 400 hours is 0.18. What is the probability that three or more units are still in operation at the end of 400 hours?

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4.4 Exercise 33

A computer system has ten similar modules. The circuit has redundancy which ensures the system operates if any eight or more of the units are operative. Units fail independently, and the probability is 0.93 that any unit will survive between maintenance periods. What is the probability of no system failure due to these units?

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4.4 Exercise 34

Only thirty percent of the items from a production line meet stringent requirements for a special job. Units from the line are tested in succession. Under the usual assumptions for Bernoulli trials, what is the probability that three satisfactory units will be found in eight or fewer trials?

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4.4 Exercise 35

The probability is 0.02 that a virus will survive application of a certain vaccine. What is the probability that in a batch of 500 viruses, fifteen or more will survive treatment?

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4.4 Exercise 36

In a shipment of 20,000 items, 400 are defective. These are scattered randomly throughout the entire lot. Assume the probability of a defective is the same on each choice. What is the probability that

  1. Two or more will appear in a random sample of 35?
  2. At most five will appear in a random sample of 50?
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4.4 Exercise 37

A device has probability p of operating successfully on any trial in a sequence. What probability p is necessary to ensure the probability of successes on all of the first four trials is 0.850 . 85? With that value of p, what is the probability of four or more successes in five trials?

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4.4 Exercise 38

A survey form is sent to 100 persons. If they decide independently whether or not to reply, and each has probability 1/4 of replying, what is the probability of k or more replies, where k=15,20,25,30,35,40k = 15 , 20 , 25 , 30 , 35 , 40?

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4.4 Exercise 39

Ten numbers are produced by a random number generator. What is the probability four or more are less than or equal to 0.63?

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4.4 Exercise 40

A player rolls a pair of dice five times. She scores a “hit” on any throw if she gets a 6 or 7. She wins iff she scores an odd number of hits in the five throws. What is the probability a player wins on any sequence of five throws? Suppose she plays the game 20 successive times. What is the probability she wins at least 10 times? What is the probability she wins more than half the time?

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4.4 Exercise 41

Erica and John spin a wheel which turns up the integers 0 through 9 with equal probability. Results on various trials are independent. Each spins the wheel 10 times. What is the probability Erica turns up a seven more times than does John?

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4.4 Exercise 42

Erica and John play a different game with the wheel, above. Erica scores a point each time she gets an integer 0, 2, 4, 6, or 8. John scores a point each time he turns up a 1, 2, 5, or 7. If Erica spins eight times; John spins 10 times. What is the probability John makes more points than Erica?

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4.4 Exercise 43

A box contains 100 balls; 30 are red, 40 are blue, and 30 are green. Martha and Alex select at random, with replacement and mixing after each selection. Alex has a success if he selects a red ball; Martha has a success if she selects a blue ball. Alex selects seven times and Martha selects five times. What is the probability Martha has more successes than Alex?

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4.4 Exercise 44

Two players roll a fair die 30 times each. What is the probability that each rolls the same number of sixes?

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4.4 Exercise 45

A warehouse has a stock of n items of a certain kind, r of which are defective. Two of the items are chosen at random, without replacement. What is the probability that at least one is defective? Show that for large n the number is very close to that for selection with replacement, which corresponds to two Bernoulli trials with pobability p=r/np = r / n of success on any trial.

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4.4 Exercise 46

A coin is flipped repeatedly, until a head appears. Show that with probability one the game will terminate.

The probability of not terminating in n trials is qn.

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4.4 Exercise 47

Two persons play a game consecutively until one of them is successful or there are ten unsuccesful plays. Let Ei be the event of a success on the ith play of the game. Suppose {Ei:1≤i}\left\{E_{i} : 1 \leq i\right\} is an independent class with P(Ei)=p1P \left(E_{i}\right) = p_{1} for i odd and P(Ei)=p2P \left(E_{i}\right) = p_{2} for i even. Let A be the event the first player wins, B be the event the second player wins, and C be the event that neither wins.

  1. Express A,BA , B, and C in terms of the Ei.
  2. Deter…
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4.4 Exercise 48

Three persons play a game consecutively until one achieves his objective. Let Ei be the event of a success on the ith trial, and suppose {Ei:1≤i}\left\{E_{i} : 1 \leq i\right\} is an independent class, with P(Ei)=p1P \left(E_{i}\right) = p_{1} for i=1,4,7,⋯i = 1 , 4 , 7 , \hdots, P(Ei)=p2P \left(E_{i}\right) = p_{2} for i=2,5,8,⋯i = 2 , 5 , 8 , \hdots, and P(Ei)=p3P \left(E_{i}\right) = p_{3} for i=3,6,9,⋯i = 3 , 6 , 9 , \hdots. Let A,B,CA , B , C be the respective events the first, second, and third player wins.

  1. Express A,BA , B, and C in terms of the Ei.
  2. Determine the probabilities in terms of p1,p2,p3p_{1} , p_{2} , p_{3}, then obtain numerical values in the case p1=1/4p_{1} = 1 / 4,
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4.4 Exercise 49

What is the probability of a success on the ith trial in a Bernoulli sequence of n component trials, given there are r successes?

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4.4 Exercise 50

A device has N similar components which may fail independently, with probability p of failure of any component. The device fails if one or more of the components fails. In the event of failure of the device, the components are tested sequentially.

  1. What is the probability the first defective unit tested is the nth, given one or more components have failed?
  2. What is the probability the defective u…

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Adapted from Applied Probability © 2009 Paul E. Pfeiffer. Licensed under CC BY 3.0. Source: Applied Probability. Imported at revision d7a0420.