Posted by qwen on Sunday, September 20, 2009 at 9:44am.
If you are dealing with a skewed distribution, you cannot find the variance with the same degree of accuracy. The standard deviation (square root of the variance) will not cut off the same proportions as on the normal distribution. You cannot treat it the same way as a normal distribution. How extreme is the skew?
Just so we are using the same terms, skewed right means there are predominantly low scores with relatively few high scores.
Sorry that I cannot help more. Thanks for asking.
256
know for sure the answer is 256
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