Deck 4: Introduction to Probability
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Deck 4: Introduction to Probability
1
The range of probability is _____,
A) any value larger than 0
B) any value between minus infinity to plus infinity
C) 0 to 1, inclusive
D) any value between -1 to 1
A) any value larger than 0
B) any value between minus infinity to plus infinity
C) 0 to 1, inclusive
D) any value between -1 to 1
0 to 1, inclusive
2
The collection of all possible sample points in an experiment is _____.
A) the sample space
B) a sample point
C) an experiment
D) the population
A) the sample space
B) a sample point
C) an experiment
D) the population
the sample space
3
The complement of P(A | B) is _____.
A) P(Ac | B)
B) P(A | Bc)
C) P(B | A)
D) P(A ⋂ B)
A) P(Ac | B)
B) P(A | Bc)
C) P(B | A)
D) P(A ⋂ B)
P(Ac | B)
4
If A and B are mutually exclusive, then _____.
A) P(A) + P(B) = 0
B) P(A) + P(B) = 1
C) P(A ⋂ B) = 0
D) P(A ⋂ B) = 1
A) P(A) + P(B) = 0
B) P(A) + P(B) = 1
C) P(A ⋂ B) = 0
D) P(A ⋂ B) = 1
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5
Twenty percent of people at a company picnic got food poisoning. What percent of the people at the picnic did NOT get food poisoning?
A) 20%
B) 40%
C) 60%
D) 80%
A) 20%
B) 40%
C) 60%
D) 80%
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6
An element of the sample space is a(n) _____.
A) event
B) estimator
C) sample point
D) outlier
A) event
B) estimator
C) sample point
D) outlier
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7
Posterior probabilities are computed using _____.
A) the classical method
B) Chebyshev's theorem
C) the empirical rule
D) Bayes' theorem
A) the classical method
B) Chebyshev's theorem
C) the empirical rule
D) Bayes' theorem
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8
A lottery is conducted using three urns. Each urn contains chips numbered from 0 to 9. One chip is selected at random from each urn. The total number of sample points in the sample space is _____.
A) 30
B) 100
C) 729
D) 1,000
A) 30
B) 100
C) 729
D) 1,000
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9
The sample space refers to _____.
A) any particular experimental outcome
B) the sample size minus 1
C) the set of all possible experimental outcomes
D) both any particular experimental outcome and the set of all possible experimental outcome
A) any particular experimental outcome
B) the sample size minus 1
C) the set of all possible experimental outcomes
D) both any particular experimental outcome and the set of all possible experimental outcome
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10
The probability of at least one head in two flips of a coin is _____.
A) .33
B) .50
C) .75
D) 1
A) .33
B) .50
C) .75
D) 1
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11
An experiment consists of three steps. There are four possible results on the first step, three possible results on the second step, and two possible results on the third step. The total number of experimental outcomes is _____.
A) 9
B) 14
C) 24
D) 36
A) 9
B) 14
C) 24
D) 36
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12
Since the sun MUST rise tomorrow, then the probability of the sun rising tomorrow is _____.
A) much larger than 1
B) 0
C) infinity
D) None of the answers is correct.
A) much larger than 1
B) 0
C) infinity
D) None of the answers is correct.
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13
Posterior probabilities are _____.
A) simple probabilities
B) marginal probabilities
C) joint probabilities
D) conditional probabilities
A) simple probabilities
B) marginal probabilities
C) joint probabilities
D) conditional probabilities
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14
A sample point refers to a(n) _____.
A) numerical measure of the likelihood of the occurrence of an event
B) set of all possible experimental outcomes
C) individual outcome of an experiment
D) All of the answers are correct.
A) numerical measure of the likelihood of the occurrence of an event
B) set of all possible experimental outcomes
C) individual outcome of an experiment
D) All of the answers are correct.
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15
An experiment consists of tossing four coins successively. The number of sample points in this experiment is _____.
A) 16
B) 8
C) 4
D) 2
A) 16
B) 8
C) 4
D) 2
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16
Revised probabilities of events based on additional information are _____.
A) joint probabilities
B) posterior probabilities
C) marginal probabilities
D) complementary probabilities
A) joint probabilities
B) posterior probabilities
C) marginal probabilities
D) complementary probabilities
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17
There is a 60% chance of getting stuck in traffic when leaving the city. On two separate days, what is the probability that you get stuck in traffic both days?
A) .36
B) .60
C) 1.20
D) .30
A) .36
B) .60
C) 1.20
D) .30
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18
Suppose we flip a fair coin five times and each time it lands heads up. The probability of landing heads up on the next flip is _____.
A) 1/2
B) 1
C) 0
D) None of the answers is correct.
A) 1/2
B) 1
C) 0
D) None of the answers is correct.
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19
The probability of an intersection of two events is computed using the _____.
A) addition law
B) subtraction law
C) multiplication law
D) division law
A) addition law
B) subtraction law
C) multiplication law
D) division law
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20
Any process that generates well-defined outcomes is _____.
A) an event
B) an experiment
C) a sample point
D) None of the answers is correct.
A) an event
B) an experiment
C) a sample point
D) None of the answers is correct.
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21
A method of assigning probabilities based upon judgment is referred to as the _____.
A) relative frequency method
B) probability method
C) classical method
D) None of the answers is correct.
A) relative frequency method
B) probability method
C) classical method
D) None of the answers is correct.
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22
Of five letters (A, B, C, D, and E), two letters are to be selected at random. How many possible selections are there?
A) 20
B) 7
C) 5!
D) 10
A) 20
B) 7
C) 5!
D) 10
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23
Each customer entering a department store will either buy or not buy some merchandise. An experiment consists of following three customers and determining whether or not they purchase any merchandise. The number of sample points in this experiment is _____.
A) 2
B) 4
C) 6
D) 8
A) 2
B) 4
C) 6
D) 8
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24
Given that event E has a probability of .25, the probability of the complement of event E _____.
A) cannot be determined with the above information
B) can have any value between 0 and 1
C) must be .75
D) is .25
A) cannot be determined with the above information
B) can have any value between 0 and 1
C) must be .75
D) is .25
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25
A professor rolls a fair, six-sided die. Using the classical method of probability, what is the probability that at least three spots will be showing up on the die?
A) 1/2
B) 2/3
C) 1/3
D) 1/6
A) 1/2
B) 2/3
C) 1/3
D) 1/6
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26
The symbol ∪ indicates the _____.
A) union of events
B) intersection of events
C) sum of the probabilities of events
D) sample space
A) union of events
B) intersection of events
C) sum of the probabilities of events
D) sample space
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27
A magician holds a standard deck of cards and draws one card. The probability of drawing the ace of diamonds is 1/52. What method of assigning probabilities was used?
A) objective method
B) classical method
C) subjective method
D) experimental method
A) objective method
B) classical method
C) subjective method
D) experimental method
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28
Assume your favorite football team has two games left to finish the season. The outcome of each game can be win, lose, or tie. The number of possible outcomes is _____.
A) 2
B) 4
C) 6
D) 9
A) 2
B) 4
C) 6
D) 9
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29
Three applications for admission to a local university are checked to determine whether each applicant is male or female. The number of sample points in this experiment is _____.
A) 2
B) 4
C) 6
D) 8
A) 2
B) 4
C) 6
D) 8
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30
The probability of the union of two events with nonzero probabilities _____.
A) cannot be less than 1
B) cannot be 1
C) cannot be less than one and cannot be 1
D) None of the answers is correct.
A) cannot be less than 1
B) cannot be 1
C) cannot be less than one and cannot be 1
D) None of the answers is correct.
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31
An experiment consists of four outcomes with P(E1) = .2, P(E2) = .3, and P(E3) = .4. The probability of outcome E4 is _____.
A) .500
B) .024
C) .100
D) .900
A) .500
B) .024
C) .100
D) .900
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32
When the assumption of equally likely outcomes is used to assign probability values, the method used to assign probabilities is referred to as the _____.
A) relative frequency method
B) subjective method
C) probability method
D) classical method
A) relative frequency method
B) subjective method
C) probability method
D) classical method
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33
The union of events A and B is the event containing _____.
A) all the sample points common to both A and B
B) all the sample points belonging to A or B
C) all the sample points belonging to A or B or both
D) all the sample points belonging to A or B, but not both
A) all the sample points common to both A and B
B) all the sample points belonging to A or B
C) all the sample points belonging to A or B or both
D) all the sample points belonging to A or B, but not both
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34
The "Top Three" at a racetrack consists of picking the correct order of the first three horses in a race. If there are 10 horses in a particular race, how many "Top Three" outcomes are there?
A) 302,400
B) 720
C) 1,814,400
D) 10
A) 302,400
B) 720
C) 1,814,400
D) 10
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35
A graphical device used for enumerating sample points in a multiple-step experiment is a _____.
A) bar chart
B) tree diagram
C) histogram
D) None of the answers is correct.
A) bar chart
B) tree diagram
C) histogram
D) None of the answers is correct.
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36
A graphical method of representing the sample points of a multiple-step experiment is a(n) _____.
A) frequency polygon
B) histogram
C) ogive
D) tree diagram
A) frequency polygon
B) histogram
C) ogive
D) tree diagram
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37
A __________ is a graphical representation in which the sample space is represented by a rectangle and events are represented as circles.
A) frequency polygon
B) histogram
C) Venn diagram
D) tree diagram
A) frequency polygon
B) histogram
C) Venn diagram
D) tree diagram
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38
Of the last 100 customers entering a computer shop, 25 have purchased a computer. If the relative frequency method for computing probability is used, the probability that the next customer will purchase a computer is _____.
A) .25
B) .50
C) 1
D) .75
A) .25
B) .50
C) 1
D) .75
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39
When the results of experimentation or historical data are used to assign probability values, the method used to assign probabilities is referred to as the _____.
A) relative frequency method
B) subjective method
C) classical method
D) posterior method
A) relative frequency method
B) subjective method
C) classical method
D) posterior method
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40
A(n) __________ is a collection of sample points.
A) probability
B) permutation
C) experiment
D) event
A) probability
B) permutation
C) experiment
D) event
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41
If A and B are mutually exclusive events with P(A) = .3 and P(B) = .5, then P(A ∪ B) =
A) 0
B) .15
C) .8
D) .2
A) 0
B) .15
C) .8
D) .2
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42
If A and B are independent events with P(A) = .38 and P(B) = .55, then P(A | B) =
A) .209
B) 0
C) .550
D) None of the answers is correct.
A) .209
B) 0
C) .550
D) None of the answers is correct.
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43
The symbol ∩ shows the _____.
A) union of events
B) intersection of events
C) sum of the probabilities of events
D) None of the answers is correct.
A) union of events
B) intersection of events
C) sum of the probabilities of events
D) None of the answers is correct.
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44
If P(A) = .62, P(B) = .56, and P(A ∪ B) = .70, then P(B | A) = _____.
A) .4800
B) .7742
C) .9032
D) Not enough information is given to answer this question.
A) .4800
B) .7742
C) .9032
D) Not enough information is given to answer this question.
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45
If P(A) = .75, P(A ∪ B) = .86, and P(A ∩ B) = .56, then P(B) =
A) .25
B) .67
C) .56
D) .11
A) .25
B) .67
C) .56
D) .11
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46
If P(A) = .62, P(B) = .47, and P(A ∪ B) = .88; then P(A ∩ B) =
A) .291
B) 1.970
C) .670
D) .210
A) .291
B) 1.970
C) .670
D) .210
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47
The probability of the intersection of two mutually exclusive events _____.
A) can be any value between 0 and 1
B) must always be equal to 1
C) must always be equal to 0
D) can be any positive value
A) can be any value between 0 and 1
B) must always be equal to 1
C) must always be equal to 0
D) can be any positive value
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48
Two events, A and B, are mutually exclusive and each has a nonzero probability. If event A is known to occur, the probability of the occurrence of event B is _____.
A) 1
B) any positive value
C) 0
D) any value between 0 and 1
A) 1
B) any positive value
C) 0
D) any value between 0 and 1
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49
If P(A) = .38, P(B) = .83, and P(A ∩ B) = .24; then P(A ∪ B) =
A) 1.21
B) .97
C) .76
D) 1.45
A) 1.21
B) .97
C) .76
D) 1.45
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50
In an experiment, events A and B are mutually exclusive. If P(A) = .6, then the probability of B _____.
A) cannot be larger than .4
B) can be any value greater than .6
C) can be any value between 0 and 1
D) cannot be determined with the information given
A) cannot be larger than .4
B) can be any value greater than .6
C) can be any value between 0 and 1
D) cannot be determined with the information given
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51
Two events are mutually exclusive if _____.
A) the probability of their intersection is 1
B) they have no sample points in common
C) the probability of their intersection is .5
D) the probability of their intersection is 1 and they have no sample points in common
A) the probability of their intersection is 1
B) they have no sample points in common
C) the probability of their intersection is .5
D) the probability of their intersection is 1 and they have no sample points in common
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52
Events A and B are mutually exclusive with P(A) = .3 and P(B) = .2. The probability of the complement of event B equals _____.
A) 0
B) .06
C) .70
D) None of the answers is correct.
A) 0
B) .06
C) .70
D) None of the answers is correct.
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53
If two events are mutually exclusive, then the probability of their intersection _____.
A) will be equal to 0
B) can have any value larger than 0
C) must be larger than zero, but less than 1
D) will be 1
A) will be equal to 0
B) can have any value larger than 0
C) must be larger than zero, but less than 1
D) will be 1
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54
If two events are independent, then _____.
A) they must be mutually exclusive
B) the sum of their probabilities must be equal to 1
C) the probability of their intersection must be 0
D) None of the answers is correct.
A) they must be mutually exclusive
B) the sum of their probabilities must be equal to 1
C) the probability of their intersection must be 0
D) None of the answers is correct.
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55
The multiplication law is potentially helpful when we are interested in computing the probability of _____.
A) mutually exclusive events
B) the intersection of two events
C) the union of two events
D) None of the answers is correct.
A) mutually exclusive events
B) the intersection of two events
C) the union of two events
D) None of the answers is correct.
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56
Which of the following statements is always true?
A) −1 ≤ P(Ei) ≤ 1
B) P(A) = 1 − P(Ac)
C) P(A) + P(B) = 1
D) both P(A) = 1 − P(Ac) and P(A) + P(B) = 1
A) −1 ≤ P(Ei) ≤ 1
B) P(A) = 1 − P(Ac)
C) P(A) + P(B) = 1
D) both P(A) = 1 − P(Ac) and P(A) + P(B) = 1
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57
You roll a fair six-sided die with the hopes of rolling a 5 or a 6. These two events are ___________ because they have no sample points in common.
A) independent events
B) posterior events
C) mutually exclusive events
D) complements
A) independent events
B) posterior events
C) mutually exclusive events
D) complements
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58
The addition law is potentially helpful when we are interested in computing the probability of _____.
A) independent events
B) the intersection of two events
C) the union of two events
D) conditional events
A) independent events
B) the intersection of two events
C) the union of two events
D) conditional events
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59
One of the basic requirements of probability is _____.
A) for each experimental outcome Ei, we must have P(Ei) ≥ 1
B) P(A) = P(Ac) - 1
C) if there are k experimental outcomes, then P(E1) + P(E2) + ... + P(Ek) = 1
D) both P(A) = P(Ac) − 1 and if there are k experimental outcomes, then P(E1) + P(E2) + ... + P(Ek) = 1
A) for each experimental outcome Ei, we must have P(Ei) ≥ 1
B) P(A) = P(Ac) - 1
C) if there are k experimental outcomes, then P(E1) + P(E2) + ... + P(Ek) = 1
D) both P(A) = P(Ac) − 1 and if there are k experimental outcomes, then P(E1) + P(E2) + ... + P(Ek) = 1
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60
If A and B are mutually exclusive events with P(A) = .3 and P(B) = 0.5, then P(A ∩ B) =
A) .30
B) .15
C) 0
D) .20
A) .30
B) .15
C) 0
D) .20
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61
A couple has three children. Assuming each child has an equal chance of being a boy or a girl, what is the probability that they have at least one girl?
A) .125
B) .5
C) .875
D) 1
A) .125
B) .5
C) .875
D) 1
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62
On a December day, the probability of snow is .30. The probability of a "cold" day is .50. The probability of snow and a "cold" day is .15. Are snow and "cold" weather independent events?
A) only if given that it snowed
B) no
C) yes
D) only when they are also mutually exclusive
A) only if given that it snowed
B) no
C) yes
D) only when they are also mutually exclusive
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63
If A and B are independent events with P(A) = .2 and P(B) = .6, then P(A ∪ B) = _____.
A) .62
B) .12
C) .60
D) .68
A) .62
B) .12
C) .60
D) .68
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64
If A and B are independent events with P(A) = .4 and P(B) = .25, then P(A ∪ B) = _____.
A) .65
B) .55
C) .10
D) Not enough information is given to answer this question.
A) .65
B) .55
C) .10
D) Not enough information is given to answer this question.
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65
The probability of the occurrence of event A in an experiment is 1/3. If the experiment is performed two times and event A did not occur, then on the third trial event A _____.
A) must occur
B) may occur
C) could not occur
D) has a 2/3 probability of occurring
A) must occur
B) may occur
C) could not occur
D) has a 2/3 probability of occurring
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66
Events A and B are mutually exclusive. Which of the following statements is also true?
A) A and B are also independent.
B) P(A ∪ B) = P(A)P(B)
C) P(A ∪ B) = P(A) + P(B)
D) P(A ∩ B) = P(A) + P(B)
A) A and B are also independent.
B) P(A ∪ B) = P(A)P(B)
C) P(A ∪ B) = P(A) + P(B)
D) P(A ∩ B) = P(A) + P(B)
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67
Initial estimates of the probabilities of events are known as _____.
A) sets
B) posterior probabilities
C) conditional probabilities
D) prior probabilities
A) sets
B) posterior probabilities
C) conditional probabilities
D) prior probabilities
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68
Bayes' theorem is used to compute _____.
A) the prior probabilities
B) the union of events
C) both the prior probabilities and the union of events
D) the posterior probabilities
A) the prior probabilities
B) the union of events
C) both the prior probabilities and the union of events
D) the posterior probabilities
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69
If P(A) = .50, P(B) = .60, and P(A ∩ B) = .30, then events A and B are _____.
A) mutually exclusive events
B) not independent events
C) independent events
D) Not enough information is given to answer this question.
A) mutually exclusive events
B) not independent events
C) independent events
D) Not enough information is given to answer this question.
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70
If a fair penny is tossed four times and comes up heads all four times, the probability of heads on the fifth trial is _____.
A) 0
B) 1/32
C) 1/2
D) 1/5
A) 0
B) 1/32
C) 1/2
D) 1/5
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71
If P(A ∩ B) = 0, _____.
A) P(A) + P(B) = 1
B) either P(A) = 0 or P(B) = 0
C) A and B are mutually exclusive events
D) A and B are independent events
A) P(A) + P(B) = 1
B) either P(A) = 0 or P(B) = 0
C) A and B are mutually exclusive events
D) A and B are independent events
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72
A six-sided die is rolled three times. The probability of observing a 1 three times in a row is _____.
A) 1/3
B) 1/6
C) 1/27
D) 1/216
A) 1/3
B) 1/6
C) 1/27
D) 1/216
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73
If a coin is tossed three times, the likelihood of obtaining three heads in a row is _____.
A) 0
B) .500
C) .875
D) .125
A) 0
B) .500
C) .875
D) .125
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74
If X and Y are mutually exclusive events with P(X) = .295, P(Y) = .32, then P(X ∪ Y) = _____.
A) .094
B) .615
C) 1
D) 0
A) .094
B) .615
C) 1
D) 0
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75
If P(A) = .5 and P(B) = .5, then P(A ∩ B) _____.
A) is 0
B) is .25
C) is 1
D) cannot be determined from the information given
A) is 0
B) is .25
C) is 1
D) cannot be determined from the information given
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76
If a fair penny is tossed three times and comes up heads all three times, the probability of heads on the fourth trial is _____.
A) smaller than the probability of tails
B) larger than the probability of tails
C) 1/16
D) None of the answers is correct.
A) smaller than the probability of tails
B) larger than the probability of tails
C) 1/16
D) None of the answers is correct.
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77
The probability of an event is _____.
A) the sum of the probabilities of the sample points in the event
B) the product of the probabilities of the sample points in the event
C) the minimum of the probabilities of the sample points in the event
D) the maximum of the probabilities of the sample points in the event
A) the sum of the probabilities of the sample points in the event
B) the product of the probabilities of the sample points in the event
C) the minimum of the probabilities of the sample points in the event
D) the maximum of the probabilities of the sample points in the event
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78
If A and B are independent events with P(A) = .4 and P(B) = .6, then P(A ∩ B) = _____.
A) .76
B) 1
C) .24
D) .2
A) .76
B) 1
C) .24
D) .2
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79
Two events with nonzero probabilities _____.
A) can be both mutually exclusive and independent
B) cannot be both mutually exclusive and independent
C) are always mutually exclusive
D) are always independent
A) can be both mutually exclusive and independent
B) cannot be both mutually exclusive and independent
C) are always mutually exclusive
D) are always independent
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80
If A and B are independent events with P(A) = .05 and P(B) = .65, then P(A | B) = _____.
A) .05
B) .0325
C) .65
D) .8
A) .05
B) .0325
C) .65
D) .8
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k this deck