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In mathematics, the shape of a distribution refers to the graphical representation of how values are spread across a dataset. Common shapes include normal (bell-shaped), skewed (either left or right), uniform (flat), and bimodal (two peaks). The shape provides insights into the characteristics of the data, such as its central tendency, variability, and the presence of outliers. Understanding the distribution shape is essential for applying appropriate statistical methods and making inferences.

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