How many standard deviations is 16.50 from the mean?
You can't average means with standard deviations. What are you trying to do with the two sets of data?
That depends on what the standard deviation is.
In a normally distributed data set, approximately 95% of the data falls within two standard deviations of the mean. This is part of the empirical rule, which states that about 68% of the data falls within one standard deviation and about 99.7% falls within three standard deviations. Therefore, two standard deviations capture a significant majority of the data points.
It is mean + 2*standard deviation.
Square the standard deviations, subtract/add them and calculate the square root of the subtraction/sum. StDV=sqrt (StDvA^2+StDvB^2)
How many standard deviations is 16.50 from the mean?
The sum of standard deviations from the mean is the error.
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.
The mean for the WISC, like the WAIS, is 100. The deviations from 100, or standard deviations, are 15.
2 times the standard deviation!
You can't average means with standard deviations. What are you trying to do with the two sets of data?
16.5 is 1 standard deviation from the mean. If you add the mean of 14 to the 1 standard deviation of 2.5, the result is 16.5.
standard deviations
That depends on what the standard deviation is.
Z-Score tells how many standard deviations a measurement is away from the mean.