Explain the concept of skewness. How does it help in analyzing the data?

Skewness is a measure of the asymmetry of a probability distribution. In other words, it measures the degree to which a distribution deviates from a normal distribution. A normal distribution is symmetrical and has zero skewness, while a skewed distribution is asymmetrical and has either positive or negative skewness.

Positive skewness occurs when the tail of a distribution extends to the right, and the majority of the data is clustered to the left. This indicates that the distribution has a few extremely high values that are pulling the mean towards the right. Negative skewness occurs when the tail of a distribution extends to the left, and the majority ________ _________ ____ _______ ___ ____ ________ __________ _________.
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