95% is within 2 standard deviations of the mean.
Square the standard deviations, subtract/add them and calculate the square root of the subtraction/sum. StDV=sqrt (StDvA^2+StDvB^2)
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.
The sum of standard deviations from the mean is the error.
The mean for the WISC, like the WAIS, is 100. The deviations from 100, or standard deviations, are 15.
95% is within 2 standard deviations of the mean.
Square the standard deviations, subtract/add them and calculate the square root of the subtraction/sum. StDV=sqrt (StDvA^2+StDvB^2)
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.
It is mean + 2*standard deviation.
How many standard deviations is 16.50 from the mean?
95 percent of measurements are less than 2 standard deviations away from the mean, assuming a normal distribution.
It is not called anything special, just 2 standard deviations or 3 sd.
The sum of standard deviations from the mean is the error.
See the related links on how to calculate standard deviation. If there are more than a dozen data points, it is tedious to calculate by hand. Use excel or an online calculator. To get 2 standard deviations, multiply the calculated std deviation by 2.
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.
The mean for the WISC, like the WAIS, is 100. The deviations from 100, or standard deviations, are 15.
You can't average means with standard deviations. What are you trying to do with the two sets of data?