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Normal Distribution

Definition

A normal distribution is a symmetric bell-shaped probability distribution characterized by its mean and standard deviation. It follows a specific mathematical formula called Gaussian distribution.

Analogy

Imagine you are measuring the heights of all the students in your school. If you were to plot a graph with height on the x-axis and the number of students on the y-axis, it would form a bell-shaped curve. This is similar to a normal distribution because most students' heights will be around the average, with fewer students being significantly taller or shorter.

Related terms

Standard Deviation: A measure of how spread out or dispersed data points are from the mean in a distribution.

Z-Score: A standardized value that represents how many standard deviations an individual data point is away from the mean in a normal distribution.

Central Limit Theorem: States that when independent random variables are added together, their sum tends to follow a normal distribution, regardless of the shape of their original distributions.

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AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.