Difference (deviation) from the mean.
the mean %100
mean
Averaging the deviations of individual data values from their mean would always result in zero, since the mean is the point at which the sum of deviations is balanced. This occurs because positive and negative deviations cancel each other out. Instead, measures like variance and standard deviation are used, which square the deviations to ensure all values contribute positively, providing a meaningful representation of spread around the mean.
Its the one most commonly used but outliers can seriously distort the mean.
The mean deviation of a set of observations is always zero and so conveys no information whatsoever!
For which measure of central tendency will the sum of the deviations always be zero?
yes is it the median?
The mean.
the mean
Mean
the mean %100
The sum of total deviations about the mean is the total variance. * * * * * No it is not - that is the sum of their SQUARES. The sum of the deviations is always zero.
No, it is not, values typical of the data are always located at the extremes of all data frequencies.
Mean and median are the measures of central location that always have one value. This is true for a set of grouped or ungrouped data.
0 (zero).
median and mode
mean