- #1
JoAuSc
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Let's say you've given out surveys where people have to respond whether they think the technology is "not significant/little significance/moderately significant/..." so that there are six choices total, on a scale from 1 to 6. After collect a few dozen or so of these surveys you get a distribution.
Obviously, there's a large amount of uncertainty in the measurement, probably around + or -1. If you try and take statistical measures such as the skewness or kurtosis, which involve cubing or taking the fourth power of the deviations from the mean, would that magnify the resulting uncertainty to the point where these measures would be unusuable?
Obviously, there's a large amount of uncertainty in the measurement, probably around + or -1. If you try and take statistical measures such as the skewness or kurtosis, which involve cubing or taking the fourth power of the deviations from the mean, would that magnify the resulting uncertainty to the point where these measures would be unusuable?