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| 1 | |
The set of all possible outcomes of an experiment is called a(n) |
| | A) | sample space. |
| | B) | event. |
| | C) | experiment. |
| | D) | probability. |
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| 2 | |
If the probability of event A occurring is not dependent on event B occurring, we have |
| | A) | Independent events. |
| | B) | Mutually exclusive events. |
| | C) | Conditional events. |
| | D) | Dependent events. |
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| 3 | |
A subjective probability is a probability assessment that is based on experience, intuitive judgment, or expertise. |
| | A) | True |
| | B) | False |
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| 4 | |
If events A and B are mutually exclusive, then P(A|B) is always equal to zero. |
| | A) | True |
| | B) | False |
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| 5 | |
P(A∩B) = 0 represents |
| | A) | Independent events. |
| | B) | Mutually exclusive events. |
| | C) | Conditional events. |
| | D) | Dependent events. |
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| 6 | |
A(n) ________ is a measure of the chance that an uncertain event will occur. |
| | A) | experiment |
| | B) | sample space |
| | C) | probability |
| | D) | complement |
| | E) | population |
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| 7 | |
The rule of complements is represented by |
| | A) | P(A|B) = P(A∩B) ÷ P(B) |
| | B) | P(A∪B) = P(A) + P(B) - P(A∩B) |
| | C) | P(A) = 1 - P(Ā) |
| | D) | P(A∪B) = P(A) × P(B) |
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| 8 | |
A ________ is the probability that one event will occur given that we know that another event occurs. |
| | A) | sample space outcome |
| | B) | subjective probability |
| | C) | complement of an event |
| | D) | long-run relative frequency |
| | E) | conditional probability |
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| 9 | |
The formula P(A∪B) = P(A) + P(B) - P(A∩B) represents |
| | A) | the conditional probability. |
| | B) | the addition rule. |
| | C) | independence. |
| | D) | the multiplication rule. |
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| 10 | |
If two events are independent, then the probability of their intersection is represented by: |
| | A) | P(A∩B) = P(A) + P(B) |
| | B) | P(A∩B) = P(A) - P(B) |
| | C) | P(A∩B) = P(A) × P(B) |
| | D) | P(A) × P(B/A) |
| | E) | P(A∩B) = P(A) × P(A|B) |
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| 11 | |
Events that have no sample space outcomes in common and, therefore, cannot occur simultaneously are |
| | A) | independent. |
| | B) | mutually exclusive. |
| | C) | intersections. |
| | D) | unions. |
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| 12 | |
When two events are independent and we are calculating conditional probability P(A|B), then it follows that |
| | A) | P(A) = P(B) |
| | B) | P(A|B) = P(A) |
| | C) | P(A∩B) = 0 |
| | D) | P(A∪B) = 0 |
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| 13 | |
The sum of probabilities of all possible sample space outcomes must always equal 1. |
| | A) | True |
| | B) | False |
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| 14 | |
A probability assessment that is based on experience, intuitive judgment, or expertise is called a(n) |
| | A) | Experimental probability. |
| | B) | Relative frequency. |
| | C) | Objective probability. |
| | D) | Subjective probability. |
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| 15 | |
If events A and B are independent, then P(A|B) is always equal to zero. |
| | A) | True |
| | B) | False |
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