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| 1 | |
A key difference between calculating the sample mean and the population mean is |
| | A) | We use instead of  <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=jpg::::/sites/dl/free/0073401765/663702/C3_img1.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>]]> and n instead of μ and N. |
| | B) | We divide the sum of the observations by n - 1 instead of n. |
| | C) | The sample observations are ranked and the middle value is selected as the population mean. |
| | D) | There are no differences. |
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| 2 | |
Which of the following measures of central location is affected most by extreme values? |
| | A) | Median |
| | B) | Mean |
| | C) | Mode |
| | D) | Geometric mean |
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| 3 | |
What scale of measurement cannot be used to determine the median? |
| | A) | Nominal |
| | B) | Ordinal |
| | C) | Interval |
| | D) | Ratio |
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| 4 | |
In a set of observations, which measure of central tendency reports the value that occurs most often? |
| | A) | Mean |
| | B) | Median |
| | C) | Mode |
| | D) | Geometric mean |
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| 5 | |
The weighted mean is a special case of the |
| | A) | Mean |
| | B) | Median |
| | C) | Mode |
| | D) | Geometric mean |
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| 6 | |
The relationship between the geometric mean and the arithmetic mean is |
| | A) | They will always be the same. |
| | B) | The geometric mean will always be larger. |
| | C) | The geometric mean will be less than or equal to the mean. |
| | D) | The mean will always be larger than the geometric mean. |
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| 7 | |
In comparing two different samples of 100 observations, one sample has a mean of 10 and a standard deviation of 10. The second sample has a mean of 10 and a standard deviation of 50. The two samples are |
| | A) | Exactly the same. |
| | B) | Both samples are centered at 10, but the first sample's data is more concentrated near the mean. |
| | C) | Both samples are centered at 10, but the second sample's data is more concentrated near the mean. |
| | D) | All of the above |
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| 8 | |
In a set of 100 observations, the mean is 5 and the median is 15 and the mode is 20. Based on this information, the distribution is: |
| | A) | Positively skewed |
| | B) | Negatively skewed |
| | C) | Symmetric |
| | D) | None of the above. |
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| 9 | |
Which of the measures of central tendency is the largest in a positively skewed distribution? |
| | A) | Mean |
| | B) | Median |
| | C) | Mode |
| | D) | Cannot tell from the information given. |
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| 10 | |
Which of the following statistics is a measure of dispersion? |
| | A) | Mean |
| | B) | Median |
| | C) | Mode |
| | D) | Standard deviation |
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| 11 | |
A disadvantage of the range is |
| | A) | Only two values are used in its calculation. |
| | B) | It is in different units than the mean. |
| | C) | It does not exist for some data sets. |
| | D) | All values are used in its calculation. |
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| 12 | |
The mean deviation is |
| | A) | Based on squared deviations from the mean. |
| | B) | Also called the variance. |
| | C) | Based on the absolute value of deviations from the mean. |
| | D) | Always reported in squared units. |
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| 13 | |
The standard deviation is |
| | A) | Based on squared deviations from the mean. |
| | B) | In the same units as the mean. |
| | C) | Uses all the observations in its calculation. |
| | D) | All of the above. |
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| 14 | |
The variance is |
| | A) | Found by dividing N by the mean. |
| | B) | In the same units as the original data. |
| | C) | Found by squaring the standard deviation. |
| | D) | The square root of the standard deviation. |
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| 15 | |
In a negatively skewed distribution |
| | A) | The mean, median, and mode are all equal. |
| | B) | The mean is larger than the median. |
| | C) | The median is larger than the mean. |
| | D) | The standard deviation must be larger than the mean or the median. |
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