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The sum will be zero or close to zero, depending on how the sampling was done. See related question.

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Q: What does the sum of the deviations of each value from the mean equal?
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How do you calculate the deviation?

Deviations are calculated from some value: the mean, the median, the maximum or whatever. You subtract that value from each observed value.


What does the sum of the deviations from the mean equal?

Zero.


For which measure of central location will the sum of the deviations of each value from the data's average will always be zero?

The mean.


Which measure of central location will the sum of the deviations of each value from the data's average always be zero?

the mean


The sum of the deviations from the mean is always zero?

The definition of the mean x of a set of data is the sum of all the values divided by the total number of observations, and this value is in turn subtracted from each x value to calculate the deviations. When the deviations from the average are added up, the sum will always be zero because of the negative signs in the sum of deviations. Going back to the definition of the mean, the equation provided (x = Σxi/n) can be manipulated to read Σxi - x = 0


Is the sum of deviations from the mean equal to zero in symmetrical distributions?

It is equal to zero in ALL distributions.


If a data point has a corresponding score of -1.5 then it is one and a half standard deviations above the mean value.?

If you are talking about the z-value of a point on the normal curve, then no, it is 1.5 standard deviations BELOW the mean.


What is the use of statistical mean in industry?

For different sets of data, the mean would be the summation of all observations, which are normally subdivided by the observation numbers. The mean value would frequently be quoted with standard deviations: mean would describe data central locations then standard deviations illustrate the spread. Substitute dispersion measures include mean variations that are always equal to average absolute deviations from the mean values. It is minimally responsive to the outliers. Hope this helps.


What is the sum of the deviations from the mean?

The sum of standard deviations from the mean is the error.


What percentage of a normal distribution is within 2 standard deviations of the mean?

I believe the standard deviations are measured from the median, not the mean.1 Standard Deviation is 34% each side of median, so that is 68% total.2 Standard Deviations is 48% each side of median, so that is 96% total.


What shows the skewness of a probability distribution?

The third moment. That is, the expected value of the cubes of the deviations from the mean.


Give the term for the number of the standard deviations that a particular X value is away from the mean?

z