Negatively Skewed Distribution
Definition
A negatively skewed distribution is a type of distribution in which more data values fall to the right side (higher end) of the distribution graph, with the tail on the left side (lower end).
Analogy
Imagine you're playing a video game where most players score high points, but a few beginners score very low. The scores would represent a negatively skewed distribution - with the majority of scores (high ones) piled up on the right and only a few low scores stretching out to the left.
Related terms
Normal Distribution: This is when data is evenly distributed around the mean, creating a symmetrical bell-shaped curve.
Positive Skewness: This refers to when more data values fall to the left side (lower end) of the distribution graph, with its tail on the right side (higher end).
Mode: The mode is simply the most frequently occurring value in a dataset.
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