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| 1 | |
The cumulative percentages of a frequency table have little or no meaning for ________ data. |
| | A) | nominal |
| | B) | ordinal |
| | C) | interval |
| | D) | ratio |
| | E) | any scale |
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| 2 | |
The only legitimate measure of central tendency for nominal scale data distributions is the: |
| | A) | mean |
| | B) | median |
| | C) | mode |
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| 3 | |
The category with the largest n-size or the peak of a distribution defines the: |
| | A) | mean |
| | B) | median |
| | C) | mode |
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| 4 | |
The mean is ________ an inappropriate measure of central tendency or most typical value for ordinal data. |
| | A) | always |
| | B) | often |
| | C) | sometimes |
| | D) | rarely |
| | E) | never |
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| 5 | |
If the data are arrayed from the lowest to the highest value, the value in the middle would be the: |
| | A) | mean |
| | B) | median |
| | C) | mode |
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| 6 | |
The distance from the 25th percentile to the 75th percentile of a distribution is known as the: |
| | A) | standard deviation |
| | B) | range of the distribution |
| | C) | interquartile range |
| | D) | middle spread |
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| 7 | |
The coefficient of ________ is a measure of the shape of a distribution. |
| | A) | skewness |
| | B) | kurtosis |
| | C) | both skewness and kurtosis |
| | D) | neither skewness nor kurtosis |
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| 8 | |
A distribution that leans sharply to the left (low side) and tails far out to the right has: |
| | A) | positive skewness |
| | B) | negative skewness |
| | C) | positive kurtosis |
| | D) | negative kurtosis |
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| 9 | |
A distribution with positive kurtosis has ________ than a normal distribution. |
| | A) | more cases in the center and fewer in the tails |
| | B) | fewer cases in the center and more in the tails |
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| 10 | |
If a distribution has negative skewness, in what order (lowest to highest) will the averages be? |
| | A) | mean, mode, median |
| | B) | mean, median, mode |
| | C) | mode, median, mean |
| | D) | median, mode, mean |
| | E) | mode, median, mean |
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| 11 | |
Which average is most sensitive to extreme values? |
| | A) | mean |
| | B) | median |
| | C) | mode |
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| 12 | |
If the coefficient of kurtosis is negative, this means that ________ of the data will be within plus or minus 1 standard error. |
| | A) | fewer than 68 percent |
| | B) | 68 percent |
| | C) | greater than 68 percent |
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| 13 | |
Ceiling effects in a distribution tend to create: |
| | A) | positive skewness |
| | B) | negative skewness |
| | C) | positive kurtosis |
| | D) | negative kurtosis |
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| 14 | |
The greater the variance in the population, the ________ the confidence intervals around an estimate of the mean will be. |
| | A) | wider |
| | B) | narrower |
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| 15 | |
The standard error to the estimate of the mean is ________ related to the sample size. |
| | A) | directly |
| | B) | inversely |
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| 16 | |
The 95 percent confidence interval for an estimate is between plus or minus: |
| | A) | 1 standard error |
| | B) | 2 standard errors |
| | C) | 3 standard errors |
| | D) | 2 standard deviations |
| | E) | 3 standard deviations |
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| 17 | |
The greater the reliability of the measurement, the ________ the standard error of the estimate of the mean will be. |
| | A) | greater |
| | B) | lesser |
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| 18 | |
If the mean is 50 and the standard error of the estimate is 2, the 95 percent confidence interval is from: |
| | A) | 48 to 52 |
| | B) | 46 to 54 |
| | C) | 44 to 56 |
| | D) | 42 to 58 |
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| 19 | |
If the 68 percent confidence interval is from 94 to 106, the 99 percent confidence interval would be from: |
| | A) | 98 to 102 |
| | B) | 96 to 104 |
| | C) | 88 to 112 |
| | D) | 82 to 118 |
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| 20 | |
For the standard error of the estimate to be valid, ________ to be near zero. |
| | A) | only the coefficient of skewness has |
| | B) | only the coefficient of kurtosis has |
| | C) | both the coefficient of skewness and kurtosis have |
| | D) | neither the coefficient of skewness and kurtosis has |
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