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Hi,
Just curious. One of the requirements for a data set to be normally-distributed is that of symmetry.
Question: Is there or could one define a statistic to this effect, meaning to determine the level of symmetry on the data set and use that to determine at certain confidence level if the data set is symmetric or the underlying population that gave rise to the data is symmetric?
Of course this is necessary but not sufficient I am thinking as a start to find the difference between points above the sample mean minus thosebelow the sample mean and dividing by the number of data values.
I know there is a related Chi-squared that computes the number of values within 1,2,3 deviations from the mean and compares them with those expected according to the 68-95-99 rule, but just curious how one could just use the above test.
Thanks.
Just curious. One of the requirements for a data set to be normally-distributed is that of symmetry.
Question: Is there or could one define a statistic to this effect, meaning to determine the level of symmetry on the data set and use that to determine at certain confidence level if the data set is symmetric or the underlying population that gave rise to the data is symmetric?
Of course this is necessary but not sufficient I am thinking as a start to find the difference between points above the sample mean minus thosebelow the sample mean and dividing by the number of data values.
I know there is a related Chi-squared that computes the number of values within 1,2,3 deviations from the mean and compares them with those expected according to the 68-95-99 rule, but just curious how one could just use the above test.
Thanks.