A key difference between calculating the sample mean and the population mean is
|A)||We use (0.0K)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.|
Which of the following measures of central location is affected most by extreme values?
What scale of measurement cannot be used to determine the median?
In a set of observations, which measure of central tendency reports the value that occurs most often?
The weighted mean is a special case of the
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)||Are centered at 10, but the first sample's data is more concentrated near the mean.|
|C)||Are centered at 10, but the second sample's data is more concentrated near the mean.|
|D)||Are positively skewed.|
For a distribution, the mean is 5, the median is 15, and the mode is 20. Based on this information, the distribution is:
Which measure of central tendency is the largest in a positively skewed distribution?
Which of the following statistics is a measure of dispersion?
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.|
The numerator of the mean deviation is
|A)||The sum of squared deviations from the mean.|
|C)||The sum of the absolute values of deviations from the mean.|
|D)||Always reported in units squared.|
The standard deviation is
|A)||Based on squared deviations from the mean.|
|B)||Expressed in the same units as the mean.|
|C)||Uses all the observations in its calculation.|
|D)||All of the above.|
The variance is
|A)||Found by dividing N by the mean.|
|B)||Expressed in the same units as the original data.|
|C)||Found by squaring the standard deviation.|
|D)||The square root of the standard deviation.|
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.|