Deck 5: A Sulvey of Probability Concepts
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Deck 5: A Sulvey of Probability Concepts
1
What is a listing of all possible outcomes of an experiment and their corresponding probability of
Occurrence called?
A) Random variable
B) Probability distribution
C) Subjective probability
D) Frequency distribution
Occurrence called?
A) Random variable
B) Probability distribution
C) Subjective probability
D) Frequency distribution
Probability distribution
2
i. A probability distribution is a mutually exclusive listing of experimental outcomes that can occur by
Chance and their corresponding probabilities.
ii. The probability of a particular outcome, designated X, must always be between 0 and 10
Inclusive.
iii. The standard deviation of a probability distribution is referred to as its expected value.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
Chance and their corresponding probabilities.
ii. The probability of a particular outcome, designated X, must always be between 0 and 10
Inclusive.
iii. The standard deviation of a probability distribution is referred to as its expected value.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
(i) is a correct statement but not (ii) or (iii).
3
i. A random variable may be either discrete or continuous.
ii. If Unique Buying Services has 100 employees, there might be 0, 1, 2, 3 up to 100 employees
Absent on Monday. In this case, the day of the week is the random variable.
iii. If we measure the weight of an eggnog carton, the variable is referred to as being a discrete
Random variable.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
ii. If Unique Buying Services has 100 employees, there might be 0, 1, 2, 3 up to 100 employees
Absent on Monday. In this case, the day of the week is the random variable.
iii. If we measure the weight of an eggnog carton, the variable is referred to as being a discrete
Random variable.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
(i) is a correct statement but not (ii) or (iii).
4
i. The probability of a particular outcome, designated X, must always be between 0 and 100
Inclusive.
ii. A random variable is a quantity resulting from a random experiment that can assume different
Values by chance.
iii. The mean of a probability distribution is referred to as its expected value.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
Inclusive.
ii. A random variable is a quantity resulting from a random experiment that can assume different
Values by chance.
iii. The mean of a probability distribution is referred to as its expected value.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
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5
A company is studying the number of monthly absences among its 125 employees. The following
Probability distribution shows the likelihood that people were absent 0, 1, 2, 3, 4, or 5 days last
Month.
What is the mean number of days absent?
A) 1.00
B) 0.40
C) 0.72
D) 2.5
Probability distribution shows the likelihood that people were absent 0, 1, 2, 3, 4, or 5 days last
Month.

What is the mean number of days absent?
A) 1.00
B) 0.40
C) 0.72
D) 2.5
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6
Which of the following is correct about a probability distribution?
(i. Sum of all possible outcomes must equal 1.
(ii. Outcomes must be mutually exclusive.
(iii) Probability of each outcome must be between 0 and 1 inclusive.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
(i. Sum of all possible outcomes must equal 1.
(ii. Outcomes must be mutually exclusive.
(iii) Probability of each outcome must be between 0 and 1 inclusive.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
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7
If the variance of a probability was computed to be 3.6 grams, what is the standard deviation?
A) 0.6
B) 1.9
C) 6.0
D) 12.96
A) 0.6
B) 1.9
C) 6.0
D) 12.96
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8
The probabilities and the number of automobiles lined up at a Lakeside Olds at opening time (7:30
A.m. for service are:
On a typical day, what is the variance of the number of automobiles that Lakeside Olds should
Expect to be lined up at opening?
A) 0.0576
B) 2.85
C) 0.7275
D) 0.1
E) 0.5293
A.m. for service are:

On a typical day, what is the variance of the number of automobiles that Lakeside Olds should
Expect to be lined up at opening?
A) 0.0576
B) 2.85
C) 0.7275
D) 0.1
E) 0.5293
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9
i. A random variable is assigned numerical values based on the outcomes of an experiment.
ii. A random variable is a quantity resulting from a random experiment that can assume different
Values by chance.
iii. The mean of a probability distribution is referred to as its expected value.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
ii. A random variable is a quantity resulting from a random experiment that can assume different
Values by chance.
iii. The mean of a probability distribution is referred to as its expected value.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
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10
The weight of an offensive linesman may be 205.15 pounds, 210.23 pounds, 225.05 pounds or
219)14 pounds. What is this an illustration of?
A) Continuous random variable
B) Discrete random variable
C) Complement rule
D) Probability distribution
219)14 pounds. What is this an illustration of?
A) Continuous random variable
B) Discrete random variable
C) Complement rule
D) Probability distribution
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11
The probabilities and the number of automobiles lined up at a Lakeside Olds at opening time (7:30
A.m.) for service are:
On a typical day, how many automobiles should Lakeside Olds expect to be lined up at opening?
A) 10.00
B) 1.00
C) 2.85
D) 1.96
A.m.) for service are:

On a typical day, how many automobiles should Lakeside Olds expect to be lined up at opening?
A) 10.00
B) 1.00
C) 2.85
D) 1.96
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12
What kind of distribution are the binomial and Poisson distributions?
A) Discrete
B) Continuous
C) Both discrete and continuous
D) Neither discrete nor continuous
A) Discrete
B) Continuous
C) Both discrete and continuous
D) Neither discrete nor continuous
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13
A company is studying the number of monthly absences among its 125 employees. The following
Probability distribution shows the likelihood that people were absent 0, 1, 2, 3, 4, or 5 days last
Month.
Given the probability distribution, which of the following predictions is correct?
A) 60% of the employees will have more than one day absent for a month.
B) There is a 0.04 probability that an employee will be absent 1 day during a month.
C) There is a 0.12 probability that an employee will be absent 2 days during a month.
D) There is a 0.50 probability that an employee will be absent 0.72 days during a month.
Probability distribution shows the likelihood that people were absent 0, 1, 2, 3, 4, or 5 days last
Month.

Given the probability distribution, which of the following predictions is correct?
A) 60% of the employees will have more than one day absent for a month.
B) There is a 0.04 probability that an employee will be absent 1 day during a month.
C) There is a 0.12 probability that an employee will be absent 2 days during a month.
D) There is a 0.50 probability that an employee will be absent 0.72 days during a month.
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14
i. If we measure the weight of an eggnog carton, the variable is referred to as being a discrete
Random variable.
ii. If we toss two coins and count the number of heads, there could be 0, 1, or 2 heads. Since the
Exact number of heads resulting from this experiment is due to chance, the number of heads
Appearing is a random variable.
iii. A random variable may be either discrete or continuous.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
Random variable.
ii. If we toss two coins and count the number of heads, there could be 0, 1, or 2 heads. Since the
Exact number of heads resulting from this experiment is due to chance, the number of heads
Appearing is a random variable.
iii. A random variable may be either discrete or continuous.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
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15
What is the following table called? 
A) Probability distribution
B) Ogive
C) Standard deviation
D) Frequency table

A) Probability distribution
B) Ogive
C) Standard deviation
D) Frequency table
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16
A company is studying the number of monthly absences among its 125 employees. The following
Probability distribution shows the likelihood that people were absent 0, 1, 2, 3, 4, or 5 days last
Month.
What is the variance of the number of days absent?
A) 1.16
B) 1.41
C) 5.00
D) 55.52
Probability distribution shows the likelihood that people were absent 0, 1, 2, 3, 4, or 5 days last
Month.

What is the variance of the number of days absent?
A) 1.16
B) 1.41
C) 5.00
D) 55.52
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17
i. A random variable may be either discrete or continuous.
ii. If Unique Buying Services has 100 employees, there might be 0, 1, 2, 3 up to 100 employees
Absent on Monday. In this case, the day of the week is the random variable.
iii. A discrete variable may assume fractional or decimal values, but they must have distance
Between them.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
ii. If Unique Buying Services has 100 employees, there might be 0, 1, 2, 3 up to 100 employees
Absent on Monday. In this case, the day of the week is the random variable.
iii. A discrete variable may assume fractional or decimal values, but they must have distance
Between them.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
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18
The probabilities and the number of automobiles lined up at a Lakeside Olds at opening time (7:30
A.m. for service are:
On a typical day, what is the standard deviation of the number of cars that Lakeside Olds can expect
To be lined up at opening?
A) 1.96
B) 2.85
C) 0.7275
D) 0.2400
E) 0.8529
A.m. for service are:

On a typical day, what is the standard deviation of the number of cars that Lakeside Olds can expect
To be lined up at opening?
A) 1.96
B) 2.85
C) 0.7275
D) 0.2400
E) 0.8529
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19
i. The probability of a particular outcome, designated X, must always be between 0 and 1 inclusive.
ii. A random variable represents the outcomes of an experiment.
iii. The mean of a probability distribution is referred to as its expected value.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
ii. A random variable represents the outcomes of an experiment.
iii. The mean of a probability distribution is referred to as its expected value.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
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20
Which of the following is correct about a probability distribution?
(i. Sum of all possible outcomes must equal 1.
(ii. Outcomes must be mutually exclusive.
(iii) Probability of each outcome must be between 0 and 100 inclusive.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (ii) are correct statements but not (iii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
(i. Sum of all possible outcomes must equal 1.
(ii. Outcomes must be mutually exclusive.
(iii) Probability of each outcome must be between 0 and 100 inclusive.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (ii) are correct statements but not (iii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
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21
i. For a binomial distribution, each trial has a known number of successes. For example, a four
Question multiple-choice test can only have zero, one, two, three and four successes (number
Correct).
ii. To construct a binomial probability distribution, the number of trials and the probability of success
Must be known.
iii. A binomial distribution has a characteristic that the trials are independent, which means that the
Outcome of one trial does not affect the outcome of any other trial.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
Question multiple-choice test can only have zero, one, two, three and four successes (number
Correct).
ii. To construct a binomial probability distribution, the number of trials and the probability of success
Must be known.
iii. A binomial distribution has a characteristic that the trials are independent, which means that the
Outcome of one trial does not affect the outcome of any other trial.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
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22
What must you know to develop a binomial probability distribution?
A) Probability of success
B) Number of trials
C) Number of successes
D) Probability of success and the number of trials
E) Probability of success and the number of successes
A) Probability of success
B) Number of trials
C) Number of successes
D) Probability of success and the number of trials
E) Probability of success and the number of successes
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23
Judging from recent experience, 5 percent of the computer keyboards produced by an automatic,
High-speed machine are defective. What is the probability that out of six keyboards selected at
Random, exactly zero keyboards will be defective?
A) 0.001
B) 0.167
C) 0.735
D) 0.500
High-speed machine are defective. What is the probability that out of six keyboards selected at
Random, exactly zero keyboards will be defective?
A) 0.001
B) 0.167
C) 0.735
D) 0.500
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24
On a very hot summer day, 5 percent of the production employees at Midland States Steel are
Absent from work. The production employees are to be selected at random for a special in-depth
Study on absenteeism. What is the probability of selecting 10 production employees at random on a
Hot summer day and finding that none of them are absent?
A) 0.002
B) 0.344
C) 0.599
D) 0.100
E) 0.630
Absent from work. The production employees are to be selected at random for a special in-depth
Study on absenteeism. What is the probability of selecting 10 production employees at random on a
Hot summer day and finding that none of them are absent?
A) 0.002
B) 0.344
C) 0.599
D) 0.100
E) 0.630
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25
Which of the following is NOT a characteristic of a binomial probability distribution?
A) Each outcome is mutually exclusive.
B) Each trial is independent.
C) Probability of success remains constant from trial to trial.
D) Each outcome results from two trials.
A) Each outcome is mutually exclusive.
B) Each trial is independent.
C) Probability of success remains constant from trial to trial.
D) Each outcome results from two trials.
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26
i. A binomial distribution has a characteristic that an outcome of an experiment is classified into one
Of two mutually exclusive categories (a success or a failure).
ii. A binomial distribution has the characteristic that the probability of a success stays the same for
Each trial, but the probability of a failure varies from trial to trial.
iii. The mean of a binomial probability distribution can be determined by multiplying the probability
Of a failure by the number of trials.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
Of two mutually exclusive categories (a success or a failure).
ii. A binomial distribution has the characteristic that the probability of a success stays the same for
Each trial, but the probability of a failure varies from trial to trial.
iii. The mean of a binomial probability distribution can be determined by multiplying the probability
Of a failure by the number of trials.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
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27
Belk Department Store is having a special sale this weekend. Customers charging purchases of
More than $50 to the Belk credit card will be given a special Belk lottery card. The customer will
Scratch the card, which will indicate the amount to be taken off the total amount of purchase. Listed
Below is the amount of the prize and the percent of the time that amount will be deducted from the
Total amount of the purchase
Determine the mean and standard deviation of the prize amount.
A) Mean is $21, standard deviation is $16.09
B) Mean is $21, standard deviation is $710.50
C) Mean is $20, standard deviation is $25.00
D) Mean is $20, standard deviation is $26.66
E) Mean is $46.25, standard deviation is $710.50
More than $50 to the Belk credit card will be given a special Belk lottery card. The customer will
Scratch the card, which will indicate the amount to be taken off the total amount of purchase. Listed
Below is the amount of the prize and the percent of the time that amount will be deducted from the
Total amount of the purchase

Determine the mean and standard deviation of the prize amount.
A) Mean is $21, standard deviation is $16.09
B) Mean is $21, standard deviation is $710.50
C) Mean is $20, standard deviation is $25.00
D) Mean is $20, standard deviation is $26.66
E) Mean is $46.25, standard deviation is $710.50
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28
i. A binomial distribution is a discrete probability distribution.
ii. To construct a binomial distribution, it is necessary to know the total number of trials and the
Probability of success on each trial.
iii. If the probability of success remains the same, but n increases, the shape of the binomial
Distribution becomes more symmetrical.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
ii. To construct a binomial distribution, it is necessary to know the total number of trials and the
Probability of success on each trial.
iii. If the probability of success remains the same, but n increases, the shape of the binomial
Distribution becomes more symmetrical.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
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29
i. A binomial distribution is a continuous probability distribution.
ii. To construct a binomial distribution, it is necessary to know the total number of trials and the
Probability of success on each trial.
iii. If the probability of success remains the same, but n increases, the shape of the binomial
Distribution becomes more symmetrical.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
ii. To construct a binomial distribution, it is necessary to know the total number of trials and the
Probability of success on each trial.
iii. If the probability of success remains the same, but n increases, the shape of the binomial
Distribution becomes more symmetrical.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
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30
Sponsors of a local charity decided to attract wealthy patrons to its $500-a-plate dinner by allowing
Each patron to buy a set of 20 tickets for the gaming tables. The chance of winning a prize for each
Of the 20 plays is 50-50. If you bought 20 tickets, what is the chance of winning 15 or more prizes?
A) 0.250
B) 0.021
C) 0.006
D) 0.750
E) 0.50
Each patron to buy a set of 20 tickets for the gaming tables. The chance of winning a prize for each
Of the 20 plays is 50-50. If you bought 20 tickets, what is the chance of winning 15 or more prizes?
A) 0.250
B) 0.021
C) 0.006
D) 0.750
E) 0.50
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31
Which one of the following is NOT a condition of the binomial distribution?
A) Independent trials
B) Only two outcomes
C) Probability of success remains constant from trial to trial
D) At least 10 observations
A) Independent trials
B) Only two outcomes
C) Probability of success remains constant from trial to trial
D) At least 10 observations
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32
A true-false test consists of six questions. If you guess the answer to each question, what is the
Probability of getting all six questions correct?
A) 0
B) 0.016
C) 0.062
D) 0.250
Probability of getting all six questions correct?
A) 0
B) 0.016
C) 0.062
D) 0.250
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33
Let X represent the number of children in a Canadian household. The probability distribution of X is
As follows:
Determine the expected number of children in a randomly selected Canadian household.
A) 2.25
B) 2.0
C) 2.5
D) 2.75
E) 3.0
As follows:

Determine the expected number of children in a randomly selected Canadian household.
A) 2.25
B) 2.0
C) 2.5
D) 2.75
E) 3.0
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34
The information below is the number of daily emergency assists made to skiers by the volunteer ski
Team at Alpine Ski Lodge for the last 50 days.
To explain, there were 22 days on which there were 2 emergency assists, and 9 days on which
There were 3 emergency assists.
Convert this information to a probability distribution, and determine the mean number of assists per
day.
A) 1.56
B) 1.7
C) 1.66
D) 1.76
E) 1.77
Team at Alpine Ski Lodge for the last 50 days.
To explain, there were 22 days on which there were 2 emergency assists, and 9 days on which
There were 3 emergency assists.

Convert this information to a probability distribution, and determine the mean number of assists per
day.
A) 1.56
B) 1.7
C) 1.66
D) 1.76
E) 1.77
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35
Sixty percent of the customers of a fast food chain order the Whopper, French fries and a drink. If a
Random sample of 15 cash register receipts is selected, what is the probability that 10 or more will
Show that the above three food items were ordered?
A) 1,000
B) 0.186
C) 0.403
D) 0.000
Random sample of 15 cash register receipts is selected, what is the probability that 10 or more will
Show that the above three food items were ordered?
A) 1,000
B) 0.186
C) 0.403
D) 0.000
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36
Chances are 50-50 that a newborn baby will be a girl. For families with five children, what is the
Probability that all the children are girls?
A) 0.100
B) 0.031
C) 0.001
D) 0.250
Probability that all the children are girls?
A) 0.100
B) 0.031
C) 0.001
D) 0.250
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37
The information below is the number of daily emergency assists made to skiers by the volunteer ski
Team at Alpine Ski Lodge for the last 50 days.
To explain, there were 22 days on which there were 2 emergency assists, and 9 days on which
There were 3 emergency assists.
Convert this information to a probability distribution, and determine the mean number of assists per
day.
A) 1.56
B) 1.7
C) 1.66
D) 1.76
E) 1.77
Team at Alpine Ski Lodge for the last 50 days.
To explain, there were 22 days on which there were 2 emergency assists, and 9 days on which
There were 3 emergency assists.

Convert this information to a probability distribution, and determine the mean number of assists per
day.
A) 1.56
B) 1.7
C) 1.66
D) 1.76
E) 1.77
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38
Which is true for a binomial distribution?
A) There are three or more possible outcomes.
B) Probability of success remains the same from trial to trial.
C) Value of p is equal to 1.50.
D) Value of p is equal to 0.5.
A) There are three or more possible outcomes.
B) Probability of success remains the same from trial to trial.
C) Value of p is equal to 1.50.
D) Value of p is equal to 0.5.
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39
In a large metropolitan area, past records revealed that 30 percent of all the high school graduates
Go to college. From 20 graduates selected at random, what is the probability that exactly 8 will go
To college?
A) 0.114
B) 0.887
C) 0.400
D) 0.231
Go to college. From 20 graduates selected at random, what is the probability that exactly 8 will go
To college?
A) 0.114
B) 0.887
C) 0.400
D) 0.231
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40
Carlson Jewellers permits the return of their diamond wedding rings, provided the return occurs
Within two weeks of the purchase date. Their records reveal that 10 percent of the diamond
Wedding rings are returned. Five different customers buy five rings. What is the probability that
None will be returned?
A) 0.250
B) 0.073
C) 0.590
D) 0.500
E) 0.372
Within two weeks of the purchase date. Their records reveal that 10 percent of the diamond
Wedding rings are returned. Five different customers buy five rings. What is the probability that
None will be returned?
A) 0.250
B) 0.073
C) 0.590
D) 0.500
E) 0.372
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41
If n = 100 and p = 1/5, determine the mean and standard deviation of this binomial distribution.
A) 20, 16
B) 20, 4
C) 500, 200
D) 200, 16
A) 20, 16
B) 20, 4
C) 500, 200
D) 200, 16
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42
i. The mean of a binomial distribution is the product of the probability of success and the number of
Repetitions of the experiment.
ii. The binomial probability distribution is always negatively skewed.
iii. A binomial distribution has the characteristic that the probability of a success stays the same for
Each trial, but the probability of a failure varies from trial to trial.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
Repetitions of the experiment.
ii. The binomial probability distribution is always negatively skewed.
iii. A binomial distribution has the characteristic that the probability of a success stays the same for
Each trial, but the probability of a failure varies from trial to trial.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
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43
Elly's hot dog emporium is famous for its chilidogs. Some customers order the hot dogs with hot
Peppers, while many do not care for that added bit of zest. Elly's latest sales indicate that 30% of the
Customers ordering her chilidogs order it with hot peppers. Suppose 18 customers are selected at
Random. What is the probability that between two and six people inclusive want hot peppers?
A) 0.015
B) 0.15
C) 0.708
D) 0.807
Peppers, while many do not care for that added bit of zest. Elly's latest sales indicate that 30% of the
Customers ordering her chilidogs order it with hot peppers. Suppose 18 customers are selected at
Random. What is the probability that between two and six people inclusive want hot peppers?
A) 0.015
B) 0.15
C) 0.708
D) 0.807
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44
An insurance agent has appointments with four prospective clients tomorrow. From past experience
The agent knows that the probability of making a sale on any appointment is 1 out of 5. Using the
Rules of probability, what is the likelihood that the agent will sell a policy to 3 of the 4 prospective
Clients?
A) 0.250
B) 0.500
C) 0.410
D) 0.026
The agent knows that the probability of making a sale on any appointment is 1 out of 5. Using the
Rules of probability, what is the likelihood that the agent will sell a policy to 3 of the 4 prospective
Clients?
A) 0.250
B) 0.500
C) 0.410
D) 0.026
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45
A multiple-choice test consists of five questions, each with A-E answers. If you guess the answer to
Each question, what is the probability of getting three or more questions correct?
A) 5.1%
B) 0.64%
C) 0.032%
D) 5.7%
Each question, what is the probability of getting three or more questions correct?
A) 5.1%
B) 0.64%
C) 0.032%
D) 5.7%
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46
David's gasoline station offers 4 cents off per litre if the customer pays in cash and does not use a
Credit card. Past evidence indicates that 40% of all customers pay in cash. During a one-hour period
Twenty-five customers buy gasoline at this station.
What is the probability that no more than twenty pay in cash?
A) 0.0
B) 0.1
C) 0.9
D) 1.0
Credit card. Past evidence indicates that 40% of all customers pay in cash. During a one-hour period
Twenty-five customers buy gasoline at this station.
What is the probability that no more than twenty pay in cash?
A) 0.0
B) 0.1
C) 0.9
D) 1.0
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47
A true-false test consists of five questions. If you guess the answer to each question, what is the
Probability of getting three or more questions correct?
A) 15.6%
B) 31.25%
C) 50%
D) 100%
Probability of getting three or more questions correct?
A) 15.6%
B) 31.25%
C) 50%
D) 100%
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48
A multiple-choice test consists of six questions, each with A-E answers. If you guess the answer to
Each question, how many questions can you expect to get correct?
A) 1
B) 3
C) 2
D) 1.2
Each question, how many questions can you expect to get correct?
A) 1
B) 3
C) 2
D) 1.2
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49
A multiple-choice test consists of five questions, each with A-E answers. If you guess the answer to
Each question, what is the probability of getting four or more questions correct?
A) 5.1%
B) 6.4%
C) 0.032%
D) Less than 1%
Each question, what is the probability of getting four or more questions correct?
A) 5.1%
B) 6.4%
C) 0.032%
D) Less than 1%
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50
David's gasoline station offers 4 cents off per litre if the customer pays in cash and does not use a
Credit card. Past evidence indicates that 40% of all customers pay in cash. During a one-hour period
Twenty-five customers buy gasoline at this station.
This situation is an example of what type of discrete probability distribution?
A) Continuous probability distribution
B) Poisson probability distribution
C) Binomial probability distribution
D) Hypergeometric probability distribution
Credit card. Past evidence indicates that 40% of all customers pay in cash. During a one-hour period
Twenty-five customers buy gasoline at this station.
This situation is an example of what type of discrete probability distribution?
A) Continuous probability distribution
B) Poisson probability distribution
C) Binomial probability distribution
D) Hypergeometric probability distribution
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51
Elly's hot dog emporium is famous for its chilidogs. Some customers order the hot dogs with hot
Peppers, while many do not care for that added bit of zest. Elly's latest sales indicate that 30% of the
Customers ordering her chilidogs order it with hot peppers. Suppose 18 customers are selected at
Random.
What is the probability that exactly ten customers will ask for hot peppers?
A) 0.015
B) 0.15
C) 0.708
D) 0.00
Peppers, while many do not care for that added bit of zest. Elly's latest sales indicate that 30% of the
Customers ordering her chilidogs order it with hot peppers. Suppose 18 customers are selected at
Random.
What is the probability that exactly ten customers will ask for hot peppers?
A) 0.015
B) 0.15
C) 0.708
D) 0.00
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52
A multiple-choice test consists of ten questions, each with A-E answers. If you guess the answer to
Each question, how many questions can you expect to get correct? Also find the standard deviation
Of the number of questions you can expect to get correct.
A) 1, 1.6
B) 3, 1.3
C) 2, 1.3
D) 1.2, 1.6
Each question, how many questions can you expect to get correct? Also find the standard deviation
Of the number of questions you can expect to get correct.
A) 1, 1.6
B) 3, 1.3
C) 2, 1.3
D) 1.2, 1.6
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53
David's gasoline station offers 4 cents off per litre if the customer pays in cash and does not use a
Credit card. Past evidence indicates that 40% of all customers pay in cash. During a one-hour period
Twenty-five customers buy gasoline at this station.
What is the probability that at least ten pay in cash?
A) 0.416
B) 0.575
C) 0.586
D) 0.425
Credit card. Past evidence indicates that 40% of all customers pay in cash. During a one-hour period
Twenty-five customers buy gasoline at this station.
What is the probability that at least ten pay in cash?
A) 0.416
B) 0.575
C) 0.586
D) 0.425
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54
When surveyed for brand recognition, 98% of consumers recognize Coke. A new survey of 800
Randomly selected consumers is to be conducted. For such a group of 800, determine the mean
And standard deviation for the number who recognize the Coke brand name. Considering as
Unusual a result that differs from the mean by more than two standard deviations, it (___ (is/is not)
___) unusual to get 790 consumers who recognize the Coke brand name.
A) 16, 3.96, is not
B) 16, 16, is
C) 784, 3.96, is not
D) 784, 3.96, is
Randomly selected consumers is to be conducted. For such a group of 800, determine the mean
And standard deviation for the number who recognize the Coke brand name. Considering as
Unusual a result that differs from the mean by more than two standard deviations, it (___ (is/is not)
___) unusual to get 790 consumers who recognize the Coke brand name.
A) 16, 3.96, is not
B) 16, 16, is
C) 784, 3.96, is not
D) 784, 3.96, is
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55
David's gasoline station offers 4 cents off per litre if the customer pays in cash and does not use a
Credit card. Past evidence indicates that 40% of all customers pay in cash. During a one-hour period
Twenty-five customers buy gasoline at this station.
What is the probability that more than ten and less than fifteen customers pay in cash?
A) 0.541
B) 0.401
C) 0.380
D) 0.562
Credit card. Past evidence indicates that 40% of all customers pay in cash. During a one-hour period
Twenty-five customers buy gasoline at this station.
What is the probability that more than ten and less than fifteen customers pay in cash?
A) 0.541
B) 0.401
C) 0.380
D) 0.562
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56
A true-false test consists of five questions. If you guess the answer to each question, what is the
Probability of getting all five questions correct?
A) 0%
B) 3.1%
C) 6.2%
D) 100%
Probability of getting all five questions correct?
A) 0%
B) 3.1%
C) 6.2%
D) 100%
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57
When surveyed for brand recognition, 98% of consumers recognize Coke. A new survey of 800
Randomly selected consumers is to be conducted. For such a group of 800, determine the mean
And standard deviation for the number who recognize the Coke brand name. Considering as
Unusual a result that differs from the mean by more than two standard deviations, it (___ (is/is not)
___) unusual to get 775 consumers who recognize the Coke brand name.
A) 16, 3.96, is not
B) 16, 16, is
C) 784, 3.96, is
D) 874, 16, is not
Randomly selected consumers is to be conducted. For such a group of 800, determine the mean
And standard deviation for the number who recognize the Coke brand name. Considering as
Unusual a result that differs from the mean by more than two standard deviations, it (___ (is/is not)
___) unusual to get 775 consumers who recognize the Coke brand name.
A) 16, 3.96, is not
B) 16, 16, is
C) 784, 3.96, is
D) 874, 16, is not
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58
In a binomial distribution where n = 900 and p = 1/3, determine the mean and standard deviation.
A) 2,700, 200
B) 2,700, 14.14
C) 300, 200
D) 300, 14.14
A) 2,700, 200
B) 2,700, 14.14
C) 300, 200
D) 300, 14.14
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59
Affirmative action commitments by industrial organizations have led to an increase in the number of
Women in executive positions. Satellite Office Systems has vacancies for two executives that it will
fill from among four women and six men.
This is an example of what type of probability distribution?
A) Continuous probability distribution
B) Poisson probability distribution
C) Binomial probability distribution
D) Hypergeometric probability distribution
Women in executive positions. Satellite Office Systems has vacancies for two executives that it will
fill from among four women and six men.
This is an example of what type of probability distribution?
A) Continuous probability distribution
B) Poisson probability distribution
C) Binomial probability distribution
D) Hypergeometric probability distribution
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60
Elly's hot dog emporium is famous for its chilidogs. Some customers order the hot dogs with hot
Peppers, while many do not care for that added bit of zest. Elly's latest sales indicate that 30% of the
Customers ordering her chilidogs order it with hot peppers. Suppose 18 customers are selected at
Random. What is the probability that fifteen or more customers will want hot peppers?
A) 0.015
B) 0.15
C) 0.708
D) 0.807
E) 0.00
Peppers, while many do not care for that added bit of zest. Elly's latest sales indicate that 30% of the
Customers ordering her chilidogs order it with hot peppers. Suppose 18 customers are selected at
Random. What is the probability that fifteen or more customers will want hot peppers?
A) 0.015
B) 0.15
C) 0.708
D) 0.807
E) 0.00
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61
Sixty percent of the customers of a fast food chain order a hamburger, French fries and a drink. If a
Random sample of 15 cash register receipts is selected, what is the probability that 10 will show that
The above three food items were ordered?
A) .1859
B) 0.7827
C) 0.2066
D) 0.2173
E) 0.4032
Random sample of 15 cash register receipts is selected, what is the probability that 10 will show that
The above three food items were ordered?
A) .1859
B) 0.7827
C) 0.2066
D) 0.2173
E) 0.4032
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62
An insurance agent has appointments with four prospective clients tomorrow. From past experience
The agent knows that the probability of making a sale on any appointment is 1 out of 5. Using the
Rules of probability, what is the likelihood that the agent will sell a policy to at least 3 of the 4
Prospective clients?
A) 0.0016
B) 0.4096
C) 0.0272
D) 0.0256
The agent knows that the probability of making a sale on any appointment is 1 out of 5. Using the
Rules of probability, what is the likelihood that the agent will sell a policy to at least 3 of the 4
Prospective clients?
A) 0.0016
B) 0.4096
C) 0.0272
D) 0.0256
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63
Affirmative action commitments by industrial organizations have led to an increase in the number of
Women in executive positions. Satellite Office Systems has vacancies for two executives that it will
fill from among four women and six men.
What is the probability that at least one woman is selected?
A) 8/15
B) 3/5
C) 2/3
D) 3/4
Women in executive positions. Satellite Office Systems has vacancies for two executives that it will
fill from among four women and six men.
What is the probability that at least one woman is selected?
A) 8/15
B) 3/5
C) 2/3
D) 3/4
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64
Sweetwater & Associates write weekend trip insurance at a very nominal charge. Records show that
The probability that a motorist will have an accident during the weekend and file a claim is 0.00555.
Suppose they wrote 400 policies for the coming weekend, what is the probability that exactly two
Claims will be filed?
A) 0.8187
B) 0.2500
C) 0.01640.2676
D) 0.0001
The probability that a motorist will have an accident during the weekend and file a claim is 0.00555.
Suppose they wrote 400 policies for the coming weekend, what is the probability that exactly two
Claims will be filed?
A) 0.8187
B) 0.2500
C) 0.01640.2676
D) 0.0001
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65
Judging from recent experience, 5 percent of the computer keyboards produced by an automatic,
High-speed machine are defective. If six keyboards are randomly selected, what is the probability
That more than 3 of the keyboards are defective?
A) 0.167
B) 0.0001
C) 0.0000
D) 1.00
E) 0.2321
High-speed machine are defective. If six keyboards are randomly selected, what is the probability
That more than 3 of the keyboards are defective?
A) 0.167
B) 0.0001
C) 0.0000
D) 1.00
E) 0.2321
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66
Affirmative action commitments by industrial organizations have led to an increase in the number of
Women in executive positions. Satellite Office Systems has vacancies for two executives that it will
fill from among four women and six men.
What is the probability that exactly one woman is selected?
A) 8/15 = 0.533
B) 3/5 = 0.60
C) 2/3 = 0.667
D) 3/4 = 0.75
Women in executive positions. Satellite Office Systems has vacancies for two executives that it will
fill from among four women and six men.
What is the probability that exactly one woman is selected?
A) 8/15 = 0.533
B) 3/5 = 0.60
C) 2/3 = 0.667
D) 3/4 = 0.75
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67
The marketing department of a nationally known cereal maker plans to conduct a national survey to
find out whether or not consumers of flake cereals can distinguish one of their favorite flake cereals.
To test the questionnaire and procedure to be used, eight persons were asked to cooperate in an
Experiment. Five very small bowls of flake cereals were placed in front of a person. The bowls were
Labeled A, B, C, D, and
A) 0.168
B) 0.009
C) 0.788
D) 0.125
E) The person was informed that only one bowl contained his or her favorite flake cereal. Suppose that the eight persons in the experiment were unable to identify their favorite
Cereal and just guessed which bowl it was in. What is the probability that none of the eight guessed
Correctly?
find out whether or not consumers of flake cereals can distinguish one of their favorite flake cereals.
To test the questionnaire and procedure to be used, eight persons were asked to cooperate in an
Experiment. Five very small bowls of flake cereals were placed in front of a person. The bowls were
Labeled A, B, C, D, and
A) 0.168
B) 0.009
C) 0.788
D) 0.125
E) The person was informed that only one bowl contained his or her favorite flake cereal. Suppose that the eight persons in the experiment were unable to identify their favorite
Cereal and just guessed which bowl it was in. What is the probability that none of the eight guessed
Correctly?
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68
In which of the following discrete distribution does the probability of a success vary from one trial to
The next?
A) Binomial
B) Poisson
C) Hypergeometric
D) Binomial, Poisson and Hypergeometric
E) Poisson and Hypergeometric
The next?
A) Binomial
B) Poisson
C) Hypergeometric
D) Binomial, Poisson and Hypergeometric
E) Poisson and Hypergeometric
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69
The production department has installed a new spray machine to paint automobile doors. As is
Common with most spray guns, unsightly blemishes often appear because of improper mixture or
Other problems. A worker counted the number of blemishes on each door. Most doors had no
Blemishes; a few had one; a very few had two, and so on. The average number was 0.5 per door.
The distribution of blemishes followed the Poisson distribution. Out of 10,000 doors painted, about
How many would have no blemishes?
A) About 6,065
B) About 3,935
C) About 5,000
D) About 500
Common with most spray guns, unsightly blemishes often appear because of improper mixture or
Other problems. A worker counted the number of blemishes on each door. Most doors had no
Blemishes; a few had one; a very few had two, and so on. The average number was 0.5 per door.
The distribution of blemishes followed the Poisson distribution. Out of 10,000 doors painted, about
How many would have no blemishes?
A) About 6,065
B) About 3,935
C) About 5,000
D) About 500
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70
Judging from recent experience, 5 percent of the computer keyboards produced by an automatic,
High-speed machine are defective. If six keyboards are randomly selected, what is the probability
That none of the keyboards are defective?
A) 0.167
B) 0.735
C) 0.500
D) 1.00
E) 0.2321
High-speed machine are defective. If six keyboards are randomly selected, what is the probability
That none of the keyboards are defective?
A) 0.167
B) 0.735
C) 0.500
D) 1.00
E) 0.2321
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71
i. As a general rule of thumb, if the items selected for a sample are not replaced and the sample
Size is less than 5 percent of the population, the binomial distribution can be used to approximate
The hypergeometric distribution.
ii. If the probability of success does not remain the same from trial to trial when sampling is done
Without replacement, the hypergeometric distribution should be applied.
iii. In the hypergeometric distribution the probability of a success is not the same on each trail.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
Size is less than 5 percent of the population, the binomial distribution can be used to approximate
The hypergeometric distribution.
ii. If the probability of success does not remain the same from trial to trial when sampling is done
Without replacement, the hypergeometric distribution should be applied.
iii. In the hypergeometric distribution the probability of a success is not the same on each trail.
A) (i), (ii), and (iii) are all correct statements.
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.
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72
How is a Poisson distribution skewed?
A) Positively
B) Negatively
C) Symmetrical
A) Positively
B) Negatively
C) Symmetrical
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73
Sixty percent of the customers of a fast food chain order a hamburger, French fries and a drink. If a
Random sample of 15 cash register receipts is selected, what is the probability that less than 10 will
Show that the above three food items were ordered?
A) 1.000
B) 0.7827
C) 0.9095
D) 0.5968
E) 0.0905
Random sample of 15 cash register receipts is selected, what is the probability that less than 10 will
Show that the above three food items were ordered?
A) 1.000
B) 0.7827
C) 0.9095
D) 0.5968
E) 0.0905
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74
Carlson Jewellers permits the return of their diamond wedding rings, provided the return occurs
Within two weeks of the purchase date. Their records reveal that 10 percent of the diamond
Wedding rings are returned. Five different customers buy five rings. What is the probability that all
Will be returned?
A) 0.00250
B) 0.59049
C) 0.00590
D) 0.00045
E) 0.00001
Within two weeks of the purchase date. Their records reveal that 10 percent of the diamond
Wedding rings are returned. Five different customers buy five rings. What is the probability that all
Will be returned?
A) 0.00250
B) 0.59049
C) 0.00590
D) 0.00045
E) 0.00001
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75
Affirmative action commitments by industrial organizations have led to an increase in the number of
Women in executive positions. Satellite Office Systems has vacancies for two executives that it will
fill from among four women and six men.
What is the probability that no woman is selected?
A) 1/5
B) 1/3
C) 2/15
D) 8/15
Women in executive positions. Satellite Office Systems has vacancies for two executives that it will
fill from among four women and six men.
What is the probability that no woman is selected?
A) 1/5
B) 1/3
C) 2/15
D) 8/15
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76
A manufacturer of headache medicine claims it is 70 percent effective within a few minutes. That is,
Out of every 100 users 70 get relief within a few minutes. A group of 12 patients are given the
Medicine. If the claim is true, what is the probability that 8 have relief within a few minutes?
A) 0.001
B) 0.168
C) 0.667
D) 0.231
Out of every 100 users 70 get relief within a few minutes. A group of 12 patients are given the
Medicine. If the claim is true, what is the probability that 8 have relief within a few minutes?
A) 0.001
B) 0.168
C) 0.667
D) 0.231
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77
Which of the following is a requirement for use of the hypergeometric distribution?
A) Only 2 possible outcomes.
B) Trials are independent.
C) Probability of a success is greater than 1.0.
D) Only 2 possible outcomes and trial are independent.
A) Only 2 possible outcomes.
B) Trials are independent.
C) Probability of a success is greater than 1.0.
D) Only 2 possible outcomes and trial are independent.
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78
Sweetwater & Associates write weekend trip insurance at a very nominal charge. Records show that
The probability that a motorist will have an accident during the weekend and file a claim is 0.00555.
Suppose they wrote 400 policies for the coming weekend, approximately how many claims could
They expect to be filed?
A) 200
B) 20
C) 2
D) 0.2
The probability that a motorist will have an accident during the weekend and file a claim is 0.00555.
Suppose they wrote 400 policies for the coming weekend, approximately how many claims could
They expect to be filed?
A) 200
B) 20
C) 2
D) 0.2
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79
Sweetwater & Associates write weekend trip insurance at a very nominal charge. Records show that
The probability that a motorist will have an accident during the weekend and file a claim is 0.00555.
Suppose they wrote 900 policies for the coming weekend, how many claims could they expect to
Be filed?
A) We have been given insufficient information to make such a prediction.
B) Sweetwater & Associates would normally expect to have 18 claims filed.
C) Sweetwater & Associates would normally expect to have 2 claims filed.
D) Sweetwater & Associates would be surprised to have five claims filed.
The probability that a motorist will have an accident during the weekend and file a claim is 0.00555.
Suppose they wrote 900 policies for the coming weekend, how many claims could they expect to
Be filed?
A) We have been given insufficient information to make such a prediction.
B) Sweetwater & Associates would normally expect to have 18 claims filed.
C) Sweetwater & Associates would normally expect to have 2 claims filed.
D) Sweetwater & Associates would be surprised to have five claims filed.
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80
Sixty percent of the customers of a fast food chain order a hamburger, French fries and a drink. If a
Random sample of 15 cash register receipts is selected, what is the probability that 10 or more will
Show that the above three food items were ordered?
A) 1.000
B) 0.7827
C) 0.9095
D) 0.2173
E) 0.0905
Random sample of 15 cash register receipts is selected, what is the probability that 10 or more will
Show that the above three food items were ordered?
A) 1.000
B) 0.7827
C) 0.9095
D) 0.2173
E) 0.0905
Unlock Deck
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