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Skewness Value Meaning

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Skewness Value Meaning. It causes the mean to be greater than the median and eventually move to the right. This first example has skewness 2 0 as indicated in the right top corner of the graph.

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Skewness refers to distortion or asymmetry in a symmetrical bell curve or normal distribution in a set of data. So towards the right of the graph the scores become more positive. This means that the right and the left of the distribution are perfect mirror images of one another.

Skewness refers to distortion or asymmetry in a symmetrical bell curve or normal distribution in a set of data.

The scores are strongly positively skewed. Sets of data that are not symmetric are said to be asymmetric. A larger negative value in the data set means that distribution is negatively skewed larger positive value in the data set means that distribution is positively distributed. This means that the right and the left of the distribution are perfect mirror images of one another.

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