Chuuuuck wrote:. A good rule of thumb is that 85% of the samples fall within the standard deviation.
FAIL
Plus or minus one standard deviation from the mean encompasses ~%68 percent of the set.
2 STD's plus minus is ~95, 3 is ~99.
Here is a correction:
For example, Empire's average is 6.38 with a standard deviation of 1.71. This means that approx. 68% of the votes for Empire fell between 4.67-8.09.
And we can safely assume a normal distribution here, since there are no real live factors that would cause this distribution to be skewed, like some sort of heavy weight (like income per population of a country)or a cut off value (like 0).
However, data on a set like THOTA might be skewed due to the cut-off. For instance, many people might vote them at 1, with the rest trailing down to 2, or 3. A histogram will show an exponential like curve instead of a bell curve. However we can just assume it's a bell curve that has been shoved at the top of the range and cut off, so no worries.