Deck 6: Probability

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Which of the following is a requirement of the probabilities assigned to the outcomes Which of the following is a requirement of the probabilities assigned to the outcomes   ?  <div style=padding-top: 35px> ? Which of the following is a requirement of the probabilities assigned to the outcomes   ?  <div style=padding-top: 35px>
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Two events A and B are said to be independent if: Two events A and B are said to be independent if:  <div style=padding-top: 35px>
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If the events A and B are independent, with P(A) = 0.30 and P(B) = 0.40, then the probability that both events will occur simultaneously is: If the events A and B are independent, with P(A) = 0.30 and P(B) = 0.40, then the probability that both events will occur simultaneously is:  <div style=padding-top: 35px>
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If you roll a fair (unbiased) die 60 times, you should expect an odd number to appear: If you roll a fair (unbiased) die 60 times, you should expect an odd number to appear:  <div style=padding-top: 35px>
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The collection of all possible outcomes of an experiment is called: The collection of all possible outcomes of an experiment is called:  <div style=padding-top: 35px>
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Which of the following is not an approach to assigning probabilities? Which of the following is not an approach to assigning probabilities?  <div style=padding-top: 35px>
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An experiment consists of tossing three unbiased coins simultaneously. Drawing a probability tree for this experiment will show that the number of simple events in this experiment is: An experiment consists of tossing three unbiased coins simultaneously. Drawing a probability tree for this experiment will show that the number of simple events in this experiment is:  <div style=padding-top: 35px>
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Suppose P(A) = 0.25. The probability of complement of A is: Suppose P(A) = 0.25. The probability of complement of A is:  <div style=padding-top: 35px>
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An experiment consists of three stages. There are two possible outcomes in the first stage, three possible outcomes in the second stage, and four possible outcomes in the third stage. Drawing a tree diagram for this experiment will show that the total number of outcomes is: An experiment consists of three stages. There are two possible outcomes in the first stage, three possible outcomes in the second stage, and four possible outcomes in the third stage. Drawing a tree diagram for this experiment will show that the total number of outcomes is:  <div style=padding-top: 35px>
Question
If P(A) = 0.65, P(B) =0.76 and P(A \cap B) =0.80, then P(A \cup B) is:  A. 0.65 B. 0.61. C. 0.80 D. 0.02\begin{array}{|l|l|}\hline\text { A. } & 0.65 \\\hline \text { B. } & 0.61 . \\\hline \text { C. } & 0.80 \\\hline \text { D. } & 0.02 \\\hline\end{array}
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Which of the following statements is always correct? Which of the following statements is always correct?  <div style=padding-top: 35px>
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A useful graphical method of constructing the sample space for an experiment is: A useful graphical method of constructing the sample space for an experiment is:  <div style=padding-top: 35px>
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Two events A and B are said to mutually exclusive if: Two events A and B are said to mutually exclusive if:  <div style=padding-top: 35px>
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If P(A) = 0.35, P(B) = 0.45 and P(A \cap B) =0.20, then P(A | B) is:  A. 0.80 B. 0.60 C. 0.44 D. 0.57\begin{array}{|l|l|}\hline\text { A. } & 0.80 \\\hline \text { B. } & 0.60 \\\hline \text { C. } & 0.44 \\\hline \text { D. } & 0.57 \\\hline\end{array}
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If P(A) = 0.20, P(B) = 0.30 and P(A \cap B) = 0.00, then A and B are: Adependent events. B independent events.C mutually exclusive events.D complementary events.\begin{array}{|l|l|}\hline A&\text {dependent events. }\\\hline B&\text { independent events.}\\\hline C&\text { mutually exclusive events.}\\\hline D&\text { complementary events.}\\\hline\end{array}
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An approach of assigning probabilities that assumes that all outcomes of the experiment are equally likely is referred to as the: An approach of assigning probabilities that assumes that all outcomes of the experiment are equally likely is referred to as the:  <div style=padding-top: 35px>
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If P(A) = 0.60, P(B) = 0.58, and P(A \cup B) = 0.70, then P(A \cap B) is:  A. 0.60 B. 0.70 C. 0.48 D. 0.58\begin{array}{|l|l|}\hline\text { A. } & 0.60 \\\hline \text { B. } & 0.70 \\\hline \text { C. } & 0.48 \\\hline \text { D. } & 0.58 \\\hline\end{array}
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If A and B are mutually exclusive events with P(A) = 0.80, then P(B): If A and B are mutually exclusive events with P(A) = 0.80, then P(B):  <div style=padding-top: 35px>
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If A and B are independent events with P(A) = 0.60 and P(A/B) = 0.60, then P(B) is: If A and B are independent events with P(A) = 0.60 and P(A/B) = 0.60, then P(B) is:  <div style=padding-top: 35px>
Question
When a fair die is rolled once, the sample space consists of the following six outcomes: 1, 2, 3, 4, 5, 6. Given this sample space, which of the following is a simple event? When a fair die is rolled once, the sample space consists of the following six outcomes: 1, 2, 3, 4, 5, 6. Given this sample space, which of the following is a simple event?  <div style=padding-top: 35px>
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The classical approach to assigning probability can be applied for experiments that have equally likely outcomes.
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If event A does not occur, then its complement Aˉ\bar A must occur.
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If a coin is tossed three times, and a statistician predicts that the probability of obtaining three heads in a row is 0.125, which of the following assumptions is irrelevant to his prediction? If a coin is tossed three times, and a statistician predicts that the probability of obtaining three heads in a row is 0.125, which of the following assumptions is irrelevant to his prediction?  <div style=padding-top: 35px>
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Marginal probability is the probability that a given event will occur, with no other events taken into consideration.
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The relative frequency approach to probability depends on the law of large numbers.
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If A and B are mutually exclusive events, with P(A) = 0.20 and P(B) = 0.30, then P(A \cap B) is:  A. 0.50 B. 0.10 C. 0.00 D. 0.06\begin{array}{|l|l|}\hline \text { A. } & 0.50 \\\hline \text { B. } & 0.10 \\\hline \text { C. } & 0.00 \\\hline \text { D. } & 0.06 \\\hline\end{array}
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Based on past exam results in principles of accounting you estimate that there is an 83% chance of passing the exam. This is an example of the subjective approach to probability.
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If we wished to determine the probability that one or more of several events will occur in an experiment, we would use addition rules.
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Two or more events are said to be independent when the occurrence of one event has an effect on the probability that another will occur.
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Five students from a statistics class have formed a study group. Each may or may not attend a study session. Assuming that the members will be making independent decisions on whether or not to attend, there are 32 different possibilities for the composition of the study session.
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If P(A) = 0.25 and P(B) = 0.65, then P(A \cap B) is:  A. 0.25 B. 0.40. C. 0.90D.P(AB) cannot be determined from the information given. \begin{array}{|l|l|}\hline \text { A. } & 0.25 \\\hline \text { B. } & 0.40 . \\\hline \text { C. } & 0.90\\\hline D.&P(A \cap B) \text { cannot be determined from the information given. }\\\hline\end{array}
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Probability refers to a number between 0 and 1 (inclusive), which expresses the chance that an event will occur.
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If A and B are mutually exclusive events, with P(A) = 0.30 and P(B) = 0.40, then P(A \cup B) is:  A. 0.10 B. 0.12. C. 0.70D. None of these choices are correct. \begin{array}{|l|l|}\hline \text { A. } & 0.10 \\\hline \text { B. } & 0.12 . \\\hline \text { C. } & 0.70\\\hline D.&\text { None of these choices are correct. }\\\hline \end{array}
Question
Of the last 400 customers entering a supermarket, 20 have purchased a mobile phone. If the classical approach for assigning probabilities is used, the probability that the next customer will purchase a mobile phone is: Of the last 400 customers entering a supermarket, 20 have purchased a mobile phone. If the classical approach for assigning probabilities is used, the probability that the next customer will purchase a mobile phone is:  <div style=padding-top: 35px>
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The annual estimate of the number of deaths of infants is an example of the classical approach to probability.
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Conditional probability is the probability that an event will occur, given that another event will also occur.
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If A and B are independent events, with P(A) = 0.50 and P(B) = 0.70, then the probability that A occurs or B occurs or both occur is: If A and B are independent events, with P(A) = 0.50 and P(B) = 0.70, then the probability that A occurs or B occurs or both occur is:  <div style=padding-top: 35px>
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If A and B are independent events, with P(A) = 0.20 and P(B) =0.60, then P(A | B) is: If A and B are independent events, with P(A) = 0.20 and P(B) =0.60, then P(A | B) is:  <div style=padding-top: 35px>
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The probability of event A and event B occurring must be equal to 1.
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If an experiment consists of five outcomes, with If an experiment consists of five outcomes, with   0.10,   0.10,   0.30,   0.25, then   is:  <div style=padding-top: 35px> 0.10, If an experiment consists of five outcomes, with   0.10,   0.10,   0.30,   0.25, then   is:  <div style=padding-top: 35px> 0.10, If an experiment consists of five outcomes, with   0.10,   0.10,   0.30,   0.25, then   is:  <div style=padding-top: 35px> 0.30, If an experiment consists of five outcomes, with   0.10,   0.10,   0.30,   0.25, then   is:  <div style=padding-top: 35px> 0.25, then If an experiment consists of five outcomes, with   0.10,   0.10,   0.30,   0.25, then   is:  <div style=padding-top: 35px> is: If an experiment consists of five outcomes, with   0.10,   0.10,   0.30,   0.25, then   is:  <div style=padding-top: 35px>
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If events A and B have nonzero probabilities, then they can be both independent and mutually exclusive.
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Given that events A and B are independent, and that P(A) = 0.9 and P(B | A) = 0.5, then P(A \cap B) = 0.45.
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Two events A and B are said to mutually exclusive if P(A) = P(B).
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A PhD graduate has applied for a job with two universities, A and
B. The graduate feels that she has a 60% chance of receiving an offer from university A, and a 30% chance of receiving an offer from university B. If she receives an offer from university B, she believes that she has an 70% chance of receiving an offer from universityA.
a. What is the probability that both universities will make her an offer?
b. What is the probability that at least one university will make her an offer?
c. If she receives an offer from university B, what is the probability that she will not receive an offer from university A?
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When events are mutually exclusive, they can happen at the same time.
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Bayes' theorem allows us to compute conditional probabilities from other forms of probability.
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Assume that A and B are independent events, with P(A) = 0.30 and P(B) = 0.50. The probability that both events will occur simultaneously is 0.80.
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When it is not reasonable to use the classical approach to assigning probabilities to the outcomes of an experiment, and there is no history of the outcomes, we have no alternative but to employ the subjective approach.
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An effective and simple method of applying the probability rules is the probability tree, wherein the events of an experiment are represented by lines.
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Suppose A and B are two independent events, with P(A) = 0.20 and P(B) = 0.60.
a. Find P(B | A).
b. Find P(A | B).
c. Find P(A and B).
d. Find P(A or B).
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According to an old song lyric, 'love and marriage go together like a horse and carriage'. Let love be event A and marriage be event
B. Events A and B cannot be mutually exclusive.
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Jim and John go to a coffee shop during their lunch break and toss a coin to see who will pay. The probability that John will pay three days in a row is 0.125.
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The relative frequency approach is not useful in interpreting probability statements such as those heard from weather forecasters or scientists.
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An experiment consists of tossing three fair (unbiased) coins simultaneously. This experiment has eight possible outcomes.
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Three candidates for the presidency of a university's student union, Alice, Brenda and Cameron, are to address a student forum. The forum's organiser is to select the order in which the candidates will give their speeches, and must do so in such a way that each possible order is equally likely to be selected.
a. What is the random experiment?
b. List the simple events in the sample space.
c. Assign probabilities to the simple events.
d. What is the probability that Cameron will speak first?
e. What is the probability that one of the women will speak first?
f. What is the probability that Alice will speak before Cameron does?
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If A and B are independent events, with P(A) = 0.30 and P(B) = 0.50, then P(B | A) is 0.10.
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Baye' Law is a method of revising probabilities after another event has occurred.
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Two events A and B are said to be independent if P(A \cap B) = P(A) + P(B).
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There are three approaches to determining the probability that an outcome will occur: the classical, relative frequency, and subjective approaches. Which is most appropriate in determining the probability of the following outcomes?
a. A flipped coin will land on tails.
b. The probability of your favourite team winning the finals.
c. Five of the next 20 new cars sold in Adelaide will be imported cars.
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The probability of the union of two mutually exclusive events A and B is P(A \cup B) = P(A) + P(B).
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A woman is expecting her second child. Her doctor has told her that she has a 50-50 chance of having another girl. If she has another girl, there is a 90% chance that she will be taller than the first. If she has a boy, however, there is only a 25% chance that he will be taller than the first child. Find the probability that the woman's second child will be taller than the first.
Question
The sample space of the toss of a fair die is S = {1, 2, 3, 4, 5, 6}. If the die is balanced, each simple event has the same probability. Find the probability of the following events.
a. Equal to 1.
b. A number greater than 3.
c. A number greater than 6.
d. A number between 2 and 4, inclusive.
Question
Suppose P(A) = 0.30, P(B) = 0.40, and P(B /A) = 0.60.
a. Find P(A \cap B).
b. Find P(A \cup B).
c. Find P(A /B).
Question
The following table shows the numbers of cars sold by a car dealer during the last 30 weeks. The following table shows the numbers of cars sold by a car dealer during the last 30 weeks.   a. Define the random variable of interest to the dealer. b. List the simple events in the sample space. c. Assign probabilities to the simple events and show the probability distribution. d. What approach have you used in determining the probabilities in part (c)? e. What is the probability of selling no more than four cars in any given week?<div style=padding-top: 35px> a. Define the random variable of interest to the dealer.
b. List the simple events in the sample space.
c. Assign probabilities to the simple events and show the probability distribution.
d. What approach have you used in determining the probabilities in part (c)?
e. What is the probability of selling no more than four cars in any given week?
Question
A statistics professor classifies his students according to their gender and the number of hours of paid work they do a week. The following table gives the proportions of students falling into the various categories. One student is selected at random.
Paid Work (hours/week)  Gender 018916 Over 16 Male 0.060.200.150.06 Female 0.120.180.200.03\begin{array} { | l | c | c | c | c | } \hline \text { Gender } & 0 & 1 - 8 & 9 - 16 & \text { Over } 16 \\\hline \text { Male } & 0.06 & 0.20 & 0.15 & 0.06 \\\hline \text { Female } & 0.12 & 0.18 & 0.20 & 0.03 \\\hline\end{array} a. If the student selected is female, what is the probability that he works between 1 and 8 hours a week?
b. If the selected student works more than 16 hours a week, what is the probability that the student is male?
c. What is the probability that the student selected is female or does do any paid work or both?
d. Is gender independent of the number of hours of paid work done a week? Explain using probabilities.
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Is it possible to have two events for which P(A) = 0.40, P(B) = 0.50, and P(A \cup B) = 0.20? Explain.
Question
Suppose P( Aˉ\bar A ) = 0.10, P( Bˉ\bar { B} | A) = 0.40, and P( Bˉ\bar {B } | Aˉ\bar A ) = 0.50.
a. Find P(A).
b. Find P( Bˉ\bar { B } \cap A).
c. Find P( Bˉ\bar { B } \cap Aˉ\bar A ).
Question
Suppose P(A) = 0.10, P(B) = 0.70, and P(B/A) = 0.80.
a. Find P(A \cap B).
b. Find P(A \cup B).
c. Find P(A | B).
Question
Suppose P(A) = 0.50, P(B) = 0.30, and P(A or B) = 0.80.
a. Find P(A \cap B).
b. Find P(B | A).
c. Are A and B mutually exclusive events? Explain using probabilities.
Question
A survey of a magazine's subscribers indicates that 40% own a home, 80% own a car, and 90% of the homeowners who subscribe also own a car. What proportion of subscribers:
a. own both a car and a house?
b. own a car or a house, or both?
c. own neither a car nor a house?
Question
An insurance company has collected the following data on the gender and marital status of 300 customers.


Marital Status  Gender  Single  Married  Divorced  Male 2512530 Female 505020\begin{array}{|l|c|c|c|}\hline \text { Gender } & \text { Single } & \text { Married } & \text { Divorced } \\\hline \text { Male } & 25 & 125 & 30 \\\hline \text { Female } & 50 & 50 & 20 \\\hline\end{array} Suppose that a customer is selected at random. Find the probability that the customer selected is:
a. a married female.
b. not single.
c. married, if the customer is male.
d. female or divorced.
e. Are gender and marital status mutually exclusive? Explain using probabilities.
f. Is marital status independent of gender? Explain using probabilities.
Question
Suppose P(A) = 0.40, P(B) = 0.50, and P(A \cup B) = 0.70.
a. Find P(A \cap B).
b. Find P(B | A).
c. Are A and B independent events? Explain using probabilities.
Question
A pharmaceutical firm has discovered a new diagnostic test for a certain disease that has infected 1% of the population. The firm has announced that 95% of those infected will show a positive test result, while 98% of those not infected will show a negative test result. What proportion of test results are correct?
Question
At the beginning of each year, an investment newsletter predicts whether or not the stock market will rise over the coming year. Historical evidence reveals that there is a 75% chance that the stock market will rise in any given year. The newsletter has predicted a rise for 80% of the years when the market actually rose, and has predicted a rise for 40% of the years when the market fell. Find the probability that the newsletter's prediction for next year will be correct.
Question
Suppose P(A) = 0.1, P(B) = 0.5, and P(A \cap B) = 0.
a. Find P(A \cup B).
b. Are A and B independent events? Explain.
c. Are A and B mutually exclusive events? Explain.
Question
An financial advisor tells you that in her estimation there is an 85% chance that a particular stock's price will increase over the next three weeks.
a. Which approach was used to produce this figure?
b. Interpret the 85% probability.
Question
Suppose A and B are two mutually exclusive events for which P(A) = 0.25 and P(B) = 0.60.
a. Find P(A \cap B).
b. Find P(A \cup B).
c. Find P(A | B).
d. Are A and B independent events? Explain using probabilities.
Question
Suppose P(A) = 0.10, P(B | A) = 0.20, and P(B | Aˉ\bar A ) = 0.40.
a. Find P(A \cap B).
b. Are A and B mutually exclusive events?
Question
A standard admissions test was given at three locations. One thousand students took the test at location A, 600 students at location B, and 400 students at location
C. The percentages of students from locations A, B and C who passed the test were 70%, 68% and 77%, respectively. One student is selected at random from among those who took the test.
a. What is the probability that the selected student passed the test?
b. If the selected student passed the test, what is the probability that the student took the test at location B?
c. What is the probability that the selected student took the test at location C and failed?
Question
An insurance company has recently recruited ten graduates, four men and six women. Two of the graduates are to be selected at random to work in the firm's suburban office.
a. What is the probability that two men will be selected?
b. What is the probability that at least one man will be selected?
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Deck 6: Probability
1
Which of the following is a requirement of the probabilities assigned to the outcomes Which of the following is a requirement of the probabilities assigned to the outcomes   ?  ? Which of the following is a requirement of the probabilities assigned to the outcomes   ?
C
2
Two events A and B are said to be independent if: Two events A and B are said to be independent if:
D
3
If the events A and B are independent, with P(A) = 0.30 and P(B) = 0.40, then the probability that both events will occur simultaneously is: If the events A and B are independent, with P(A) = 0.30 and P(B) = 0.40, then the probability that both events will occur simultaneously is:
B
4
If you roll a fair (unbiased) die 60 times, you should expect an odd number to appear: If you roll a fair (unbiased) die 60 times, you should expect an odd number to appear:
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5
The collection of all possible outcomes of an experiment is called: The collection of all possible outcomes of an experiment is called:
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6
Which of the following is not an approach to assigning probabilities? Which of the following is not an approach to assigning probabilities?
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7
An experiment consists of tossing three unbiased coins simultaneously. Drawing a probability tree for this experiment will show that the number of simple events in this experiment is: An experiment consists of tossing three unbiased coins simultaneously. Drawing a probability tree for this experiment will show that the number of simple events in this experiment is:
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8
Suppose P(A) = 0.25. The probability of complement of A is: Suppose P(A) = 0.25. The probability of complement of A is:
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9
An experiment consists of three stages. There are two possible outcomes in the first stage, three possible outcomes in the second stage, and four possible outcomes in the third stage. Drawing a tree diagram for this experiment will show that the total number of outcomes is: An experiment consists of three stages. There are two possible outcomes in the first stage, three possible outcomes in the second stage, and four possible outcomes in the third stage. Drawing a tree diagram for this experiment will show that the total number of outcomes is:
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10
If P(A) = 0.65, P(B) =0.76 and P(A \cap B) =0.80, then P(A \cup B) is:  A. 0.65 B. 0.61. C. 0.80 D. 0.02\begin{array}{|l|l|}\hline\text { A. } & 0.65 \\\hline \text { B. } & 0.61 . \\\hline \text { C. } & 0.80 \\\hline \text { D. } & 0.02 \\\hline\end{array}
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11
Which of the following statements is always correct? Which of the following statements is always correct?
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12
A useful graphical method of constructing the sample space for an experiment is: A useful graphical method of constructing the sample space for an experiment is:
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13
Two events A and B are said to mutually exclusive if: Two events A and B are said to mutually exclusive if:
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14
If P(A) = 0.35, P(B) = 0.45 and P(A \cap B) =0.20, then P(A | B) is:  A. 0.80 B. 0.60 C. 0.44 D. 0.57\begin{array}{|l|l|}\hline\text { A. } & 0.80 \\\hline \text { B. } & 0.60 \\\hline \text { C. } & 0.44 \\\hline \text { D. } & 0.57 \\\hline\end{array}
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15
If P(A) = 0.20, P(B) = 0.30 and P(A \cap B) = 0.00, then A and B are: Adependent events. B independent events.C mutually exclusive events.D complementary events.\begin{array}{|l|l|}\hline A&\text {dependent events. }\\\hline B&\text { independent events.}\\\hline C&\text { mutually exclusive events.}\\\hline D&\text { complementary events.}\\\hline\end{array}
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16
An approach of assigning probabilities that assumes that all outcomes of the experiment are equally likely is referred to as the: An approach of assigning probabilities that assumes that all outcomes of the experiment are equally likely is referred to as the:
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17
If P(A) = 0.60, P(B) = 0.58, and P(A \cup B) = 0.70, then P(A \cap B) is:  A. 0.60 B. 0.70 C. 0.48 D. 0.58\begin{array}{|l|l|}\hline\text { A. } & 0.60 \\\hline \text { B. } & 0.70 \\\hline \text { C. } & 0.48 \\\hline \text { D. } & 0.58 \\\hline\end{array}
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18
If A and B are mutually exclusive events with P(A) = 0.80, then P(B): If A and B are mutually exclusive events with P(A) = 0.80, then P(B):
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19
If A and B are independent events with P(A) = 0.60 and P(A/B) = 0.60, then P(B) is: If A and B are independent events with P(A) = 0.60 and P(A/B) = 0.60, then P(B) is:
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20
When a fair die is rolled once, the sample space consists of the following six outcomes: 1, 2, 3, 4, 5, 6. Given this sample space, which of the following is a simple event? When a fair die is rolled once, the sample space consists of the following six outcomes: 1, 2, 3, 4, 5, 6. Given this sample space, which of the following is a simple event?
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21
The classical approach to assigning probability can be applied for experiments that have equally likely outcomes.
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22
If event A does not occur, then its complement Aˉ\bar A must occur.
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23
If a coin is tossed three times, and a statistician predicts that the probability of obtaining three heads in a row is 0.125, which of the following assumptions is irrelevant to his prediction? If a coin is tossed three times, and a statistician predicts that the probability of obtaining three heads in a row is 0.125, which of the following assumptions is irrelevant to his prediction?
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24
Marginal probability is the probability that a given event will occur, with no other events taken into consideration.
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25
The relative frequency approach to probability depends on the law of large numbers.
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26
If A and B are mutually exclusive events, with P(A) = 0.20 and P(B) = 0.30, then P(A \cap B) is:  A. 0.50 B. 0.10 C. 0.00 D. 0.06\begin{array}{|l|l|}\hline \text { A. } & 0.50 \\\hline \text { B. } & 0.10 \\\hline \text { C. } & 0.00 \\\hline \text { D. } & 0.06 \\\hline\end{array}
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27
Based on past exam results in principles of accounting you estimate that there is an 83% chance of passing the exam. This is an example of the subjective approach to probability.
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28
If we wished to determine the probability that one or more of several events will occur in an experiment, we would use addition rules.
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29
Two or more events are said to be independent when the occurrence of one event has an effect on the probability that another will occur.
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30
Five students from a statistics class have formed a study group. Each may or may not attend a study session. Assuming that the members will be making independent decisions on whether or not to attend, there are 32 different possibilities for the composition of the study session.
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31
If P(A) = 0.25 and P(B) = 0.65, then P(A \cap B) is:  A. 0.25 B. 0.40. C. 0.90D.P(AB) cannot be determined from the information given. \begin{array}{|l|l|}\hline \text { A. } & 0.25 \\\hline \text { B. } & 0.40 . \\\hline \text { C. } & 0.90\\\hline D.&P(A \cap B) \text { cannot be determined from the information given. }\\\hline\end{array}
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32
Probability refers to a number between 0 and 1 (inclusive), which expresses the chance that an event will occur.
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33
If A and B are mutually exclusive events, with P(A) = 0.30 and P(B) = 0.40, then P(A \cup B) is:  A. 0.10 B. 0.12. C. 0.70D. None of these choices are correct. \begin{array}{|l|l|}\hline \text { A. } & 0.10 \\\hline \text { B. } & 0.12 . \\\hline \text { C. } & 0.70\\\hline D.&\text { None of these choices are correct. }\\\hline \end{array}
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34
Of the last 400 customers entering a supermarket, 20 have purchased a mobile phone. If the classical approach for assigning probabilities is used, the probability that the next customer will purchase a mobile phone is: Of the last 400 customers entering a supermarket, 20 have purchased a mobile phone. If the classical approach for assigning probabilities is used, the probability that the next customer will purchase a mobile phone is:
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35
The annual estimate of the number of deaths of infants is an example of the classical approach to probability.
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36
Conditional probability is the probability that an event will occur, given that another event will also occur.
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37
If A and B are independent events, with P(A) = 0.50 and P(B) = 0.70, then the probability that A occurs or B occurs or both occur is: If A and B are independent events, with P(A) = 0.50 and P(B) = 0.70, then the probability that A occurs or B occurs or both occur is:
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38
If A and B are independent events, with P(A) = 0.20 and P(B) =0.60, then P(A | B) is: If A and B are independent events, with P(A) = 0.20 and P(B) =0.60, then P(A | B) is:
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39
The probability of event A and event B occurring must be equal to 1.
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40
If an experiment consists of five outcomes, with If an experiment consists of five outcomes, with   0.10,   0.10,   0.30,   0.25, then   is:  0.10, If an experiment consists of five outcomes, with   0.10,   0.10,   0.30,   0.25, then   is:  0.10, If an experiment consists of five outcomes, with   0.10,   0.10,   0.30,   0.25, then   is:  0.30, If an experiment consists of five outcomes, with   0.10,   0.10,   0.30,   0.25, then   is:  0.25, then If an experiment consists of five outcomes, with   0.10,   0.10,   0.30,   0.25, then   is:  is: If an experiment consists of five outcomes, with   0.10,   0.10,   0.30,   0.25, then   is:
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41
If events A and B have nonzero probabilities, then they can be both independent and mutually exclusive.
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42
Given that events A and B are independent, and that P(A) = 0.9 and P(B | A) = 0.5, then P(A \cap B) = 0.45.
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43
Two events A and B are said to mutually exclusive if P(A) = P(B).
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44
A PhD graduate has applied for a job with two universities, A and
B. The graduate feels that she has a 60% chance of receiving an offer from university A, and a 30% chance of receiving an offer from university B. If she receives an offer from university B, she believes that she has an 70% chance of receiving an offer from universityA.
a. What is the probability that both universities will make her an offer?
b. What is the probability that at least one university will make her an offer?
c. If she receives an offer from university B, what is the probability that she will not receive an offer from university A?
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45
When events are mutually exclusive, they can happen at the same time.
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46
Bayes' theorem allows us to compute conditional probabilities from other forms of probability.
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47
Assume that A and B are independent events, with P(A) = 0.30 and P(B) = 0.50. The probability that both events will occur simultaneously is 0.80.
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48
When it is not reasonable to use the classical approach to assigning probabilities to the outcomes of an experiment, and there is no history of the outcomes, we have no alternative but to employ the subjective approach.
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49
An effective and simple method of applying the probability rules is the probability tree, wherein the events of an experiment are represented by lines.
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50
Suppose A and B are two independent events, with P(A) = 0.20 and P(B) = 0.60.
a. Find P(B | A).
b. Find P(A | B).
c. Find P(A and B).
d. Find P(A or B).
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51
According to an old song lyric, 'love and marriage go together like a horse and carriage'. Let love be event A and marriage be event
B. Events A and B cannot be mutually exclusive.
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52
Jim and John go to a coffee shop during their lunch break and toss a coin to see who will pay. The probability that John will pay three days in a row is 0.125.
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53
The relative frequency approach is not useful in interpreting probability statements such as those heard from weather forecasters or scientists.
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54
An experiment consists of tossing three fair (unbiased) coins simultaneously. This experiment has eight possible outcomes.
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55
Three candidates for the presidency of a university's student union, Alice, Brenda and Cameron, are to address a student forum. The forum's organiser is to select the order in which the candidates will give their speeches, and must do so in such a way that each possible order is equally likely to be selected.
a. What is the random experiment?
b. List the simple events in the sample space.
c. Assign probabilities to the simple events.
d. What is the probability that Cameron will speak first?
e. What is the probability that one of the women will speak first?
f. What is the probability that Alice will speak before Cameron does?
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56
If A and B are independent events, with P(A) = 0.30 and P(B) = 0.50, then P(B | A) is 0.10.
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57
Baye' Law is a method of revising probabilities after another event has occurred.
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58
Two events A and B are said to be independent if P(A \cap B) = P(A) + P(B).
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59
There are three approaches to determining the probability that an outcome will occur: the classical, relative frequency, and subjective approaches. Which is most appropriate in determining the probability of the following outcomes?
a. A flipped coin will land on tails.
b. The probability of your favourite team winning the finals.
c. Five of the next 20 new cars sold in Adelaide will be imported cars.
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60
The probability of the union of two mutually exclusive events A and B is P(A \cup B) = P(A) + P(B).
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61
A woman is expecting her second child. Her doctor has told her that she has a 50-50 chance of having another girl. If she has another girl, there is a 90% chance that she will be taller than the first. If she has a boy, however, there is only a 25% chance that he will be taller than the first child. Find the probability that the woman's second child will be taller than the first.
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62
The sample space of the toss of a fair die is S = {1, 2, 3, 4, 5, 6}. If the die is balanced, each simple event has the same probability. Find the probability of the following events.
a. Equal to 1.
b. A number greater than 3.
c. A number greater than 6.
d. A number between 2 and 4, inclusive.
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63
Suppose P(A) = 0.30, P(B) = 0.40, and P(B /A) = 0.60.
a. Find P(A \cap B).
b. Find P(A \cup B).
c. Find P(A /B).
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64
The following table shows the numbers of cars sold by a car dealer during the last 30 weeks. The following table shows the numbers of cars sold by a car dealer during the last 30 weeks.   a. Define the random variable of interest to the dealer. b. List the simple events in the sample space. c. Assign probabilities to the simple events and show the probability distribution. d. What approach have you used in determining the probabilities in part (c)? e. What is the probability of selling no more than four cars in any given week? a. Define the random variable of interest to the dealer.
b. List the simple events in the sample space.
c. Assign probabilities to the simple events and show the probability distribution.
d. What approach have you used in determining the probabilities in part (c)?
e. What is the probability of selling no more than four cars in any given week?
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65
A statistics professor classifies his students according to their gender and the number of hours of paid work they do a week. The following table gives the proportions of students falling into the various categories. One student is selected at random.
Paid Work (hours/week)  Gender 018916 Over 16 Male 0.060.200.150.06 Female 0.120.180.200.03\begin{array} { | l | c | c | c | c | } \hline \text { Gender } & 0 & 1 - 8 & 9 - 16 & \text { Over } 16 \\\hline \text { Male } & 0.06 & 0.20 & 0.15 & 0.06 \\\hline \text { Female } & 0.12 & 0.18 & 0.20 & 0.03 \\\hline\end{array} a. If the student selected is female, what is the probability that he works between 1 and 8 hours a week?
b. If the selected student works more than 16 hours a week, what is the probability that the student is male?
c. What is the probability that the student selected is female or does do any paid work or both?
d. Is gender independent of the number of hours of paid work done a week? Explain using probabilities.
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66
Is it possible to have two events for which P(A) = 0.40, P(B) = 0.50, and P(A \cup B) = 0.20? Explain.
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67
Suppose P( Aˉ\bar A ) = 0.10, P( Bˉ\bar { B} | A) = 0.40, and P( Bˉ\bar {B } | Aˉ\bar A ) = 0.50.
a. Find P(A).
b. Find P( Bˉ\bar { B } \cap A).
c. Find P( Bˉ\bar { B } \cap Aˉ\bar A ).
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68
Suppose P(A) = 0.10, P(B) = 0.70, and P(B/A) = 0.80.
a. Find P(A \cap B).
b. Find P(A \cup B).
c. Find P(A | B).
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69
Suppose P(A) = 0.50, P(B) = 0.30, and P(A or B) = 0.80.
a. Find P(A \cap B).
b. Find P(B | A).
c. Are A and B mutually exclusive events? Explain using probabilities.
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70
A survey of a magazine's subscribers indicates that 40% own a home, 80% own a car, and 90% of the homeowners who subscribe also own a car. What proportion of subscribers:
a. own both a car and a house?
b. own a car or a house, or both?
c. own neither a car nor a house?
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71
An insurance company has collected the following data on the gender and marital status of 300 customers.


Marital Status  Gender  Single  Married  Divorced  Male 2512530 Female 505020\begin{array}{|l|c|c|c|}\hline \text { Gender } & \text { Single } & \text { Married } & \text { Divorced } \\\hline \text { Male } & 25 & 125 & 30 \\\hline \text { Female } & 50 & 50 & 20 \\\hline\end{array} Suppose that a customer is selected at random. Find the probability that the customer selected is:
a. a married female.
b. not single.
c. married, if the customer is male.
d. female or divorced.
e. Are gender and marital status mutually exclusive? Explain using probabilities.
f. Is marital status independent of gender? Explain using probabilities.
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72
Suppose P(A) = 0.40, P(B) = 0.50, and P(A \cup B) = 0.70.
a. Find P(A \cap B).
b. Find P(B | A).
c. Are A and B independent events? Explain using probabilities.
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73
A pharmaceutical firm has discovered a new diagnostic test for a certain disease that has infected 1% of the population. The firm has announced that 95% of those infected will show a positive test result, while 98% of those not infected will show a negative test result. What proportion of test results are correct?
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74
At the beginning of each year, an investment newsletter predicts whether or not the stock market will rise over the coming year. Historical evidence reveals that there is a 75% chance that the stock market will rise in any given year. The newsletter has predicted a rise for 80% of the years when the market actually rose, and has predicted a rise for 40% of the years when the market fell. Find the probability that the newsletter's prediction for next year will be correct.
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75
Suppose P(A) = 0.1, P(B) = 0.5, and P(A \cap B) = 0.
a. Find P(A \cup B).
b. Are A and B independent events? Explain.
c. Are A and B mutually exclusive events? Explain.
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76
An financial advisor tells you that in her estimation there is an 85% chance that a particular stock's price will increase over the next three weeks.
a. Which approach was used to produce this figure?
b. Interpret the 85% probability.
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77
Suppose A and B are two mutually exclusive events for which P(A) = 0.25 and P(B) = 0.60.
a. Find P(A \cap B).
b. Find P(A \cup B).
c. Find P(A | B).
d. Are A and B independent events? Explain using probabilities.
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78
Suppose P(A) = 0.10, P(B | A) = 0.20, and P(B | Aˉ\bar A ) = 0.40.
a. Find P(A \cap B).
b. Are A and B mutually exclusive events?
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79
A standard admissions test was given at three locations. One thousand students took the test at location A, 600 students at location B, and 400 students at location
C. The percentages of students from locations A, B and C who passed the test were 70%, 68% and 77%, respectively. One student is selected at random from among those who took the test.
a. What is the probability that the selected student passed the test?
b. If the selected student passed the test, what is the probability that the student took the test at location B?
c. What is the probability that the selected student took the test at location C and failed?
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80
An insurance company has recently recruited ten graduates, four men and six women. Two of the graduates are to be selected at random to work in the firm's suburban office.
a. What is the probability that two men will be selected?
b. What is the probability that at least one man will be selected?
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