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| 1.
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The set of all possible experimental outcomes is called a(n) |
| | A) | sample space. |
| | B) | event. |
| | C) | experiment. |
| | D) | probability. |
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| 2.
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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.
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P(A∩B) = 0 represents. |
| | A) | Independent events |
| | B) | Mutually exclusive events |
| | C) | Conditional events |
| | D) | Dependent events |
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| 4.
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A/An ______________ 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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| 5.
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The rule of complements is represented by |
| | A) | P(A | B) =  <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=jpg::::/sites/dl/free/0072977477/302309/0fde0001.jpg','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (2.0K)</a>]]> |
| | B) | P(A  <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=jpg::::/sites/dl/free/0072977477/302309/0fde0004.jpg','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>]]> B) = P(A) + P(B) - P(A∩B) |
| | C) | P(A) = 1 - P( <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=jpg::::/sites/dl/free/0072977477/302309/0fde0003.jpg','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (1.0K)</a>]]>) |
| | D) | P(A <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=jpg::::/sites/dl/free/0072977477/302309/0fde0004.jpg','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>]]> B) = P(A) x P(B) |
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| 6.
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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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| 7.
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The following 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. |
| | E) | None of the above. |
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| 8.
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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) = 0 |
| | C) | P(A∩B) = P(A) * P(B) |
| | D) | P(A∩B) = P(A) * P(A | B) |
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| 9.
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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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| 10.
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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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| 11.
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A subjective probability is a probability assessment that is based on experience, intuitive judgment or expertise. |
| | A) | True |
| | B) | False |
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| 12.
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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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