In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable.

The normal distribution, also called the Gaussian distribution, is a probability distribution commonly used to model phenomena such as physical characteristics (e.g. height, weight, etc.) and test scores.

Apr 30, 2018 · The normal distribution is a continuous probability distribution that is symmetrical around its mean, most of the observations cluster around the central peak, and the probabilities for values …

Oct 11, 2023 · For a perfectly normal distribution, the mean, median, and mode will be the same value, visually represented by the peak of the curve. The normal distribution is often called the bell curve …

What is a Normal distribution? The normal distribution, also called the Gaussian distribution, de Moivre distribution, or “bell curve,” is a probability distribution that is symmetric about its center: half of data …

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 …

The normal distribution explained, with examples, solved exercises and detailed proofs of important results.

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 …

Oct 23, 2020 · In a normal distribution, data is symmetrically distributed with no skew. When plotted on a graph, the data follows a bell shape, with most values clustering around a central region and tapering …

Dec 27, 2025 · Normal distribution is a continuous probability distribution that is symmetric about the mean, depicting that data near the mean are more frequent in occurrence than data far from the …