The mean deviation of a set of observations is always zero and so conveys no information whatsoever!
How many standard deviations is 16.50 from the mean?
multiply the mean by the amount of numbers
Differing from standard deviations, the coded deviation method finds the mean of grouped data from the assumed mean using unit deviations. This is a shorter way to find the mean.
95 percent of measurements are less than 2 standard deviations away from the mean, assuming a normal distribution.
It is mean + 2*standard deviation.
The sum of standard deviations from the mean is the error.
How many standard deviations is 16.50 from the mean?
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.
Zero.
No, a standard deviation or variance does not have a negative sign. The reason for this is that the deviations from the mean are squared in the formula. Deviations are squared to get rid of signs. In Absolute mean deviation, sum of the deviations is taken ignoring the signs, but there is no justification for doing so. (deviations are not squared here)
Z-Score tells how many standard deviations a measurement is away from the mean.
95% is within 2 standard deviations of the mean.
All minor deviations occurring with two standard deviations under the Gaussian curve are considered normal. Deviations occurring outside of two standard deviations are considered abnormal.
multiply the mean by the amount of numbers
0 (zero).
Yes.
The mean for the WISC, like the WAIS, is 100. The deviations from 100, or standard deviations, are 15.