Define the term skewness
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The measure of how asymmetric a distribution can be is called SKEWNESS.
It is the distributions of data, such as the bell curve are symmetric.
This means that the right and the left of the distribution are perfect mirror images of one another.
Not every distribution of data is symmetric.
Sets of data that are not symmetric are said to be asymmetric.
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The measure of how asymmetric a distribution can be is called SKEWNESS.
It is the distributions of data, such as the bell curve are symmetric.
This means that the right and the left of the distribution are perfect mirror images of one another.
Not every distribution of data is symmetric.
Sets of data that are not symmetric are said to be asymmetric.
HOPE IT HELPS
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In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive, zero, negative, or undefined.
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