It states that, under some conditions, the average of many samples (observations) of a random variable with finite mean and variance is itself a random variable—whose distribution converges to a normal …

Data can be "distributed" (spread out) in different ways. But in many cases the data tends to be around a central value, with no bias left or right, and it gets close to a "Normal Distribution" like this: The blue …

Dec 8, 2025 · Normal distribution, the most common distribution function for independent, randomly generated variables. Its familiar bell-shaped curve is ubiquitous in statistical reports, from survey …

What is a normal distribution? Early statisticians noticed the same shape coming up over and over again in different distributions—so they named it the normal distribution. Want to learn more about what …

A normal distribution is a type of continuous probability distribution. It is one of the most commonly used probability distributions, in part because many random variables with unknown distributions can be …

Mar 18, 2025 · The normal distribution is a symmetric, bell-shaped probability distribution that describes how values cluster around an average. It shows that data points near the mean occur most …

Use this page to revise the following concepts regarding the normal distribution: In a normal distribution, values are most concentrated around the mean, and the probability decreases smoothly as you …