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A normal distribution is sometimes informally called a bell curve. [6] However, many other distributions are bell-shaped (such as the Cauchy, Student's t, and logistic distributions). (For other names, see Naming.)
A bell-shaped curve, also known as a normal distribution or Gaussian distribution, is a symmetrical probability distribution in statistics. It represents a graph where the data clusters around the mean, with the highest frequency in the center, and decreases gradually towards the tails.
What Is a Bell Curve? A bell curve is a common type of distribution for a variable, also known as the normal distribution. The term "bell curve" originates from the fact that the graph used...
The blue curve is a Normal Distribution. The yellow histogram shows some data that follows it closely, but not perfectly (which is usual).
The Bell Curve, also known as the Gaussian distribution or normal distribution, is a fundamental concept in statistics that describes how data points are distributed in a symmetrical manner around a central mean.
Due to its shape, it is often referred to as the bell curve: Owing largely to the central limit theorem, the normal distributions is an appropriate approximation even when the underlying distribution is known to be not normal.
When plotted on a graph, the data follows a bell shape, with most values clustering around a central region and tapering off as they go further away from the center. Normal distributions are also called Gaussian distributions or bell curves because of their shape.
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 falls to the left of the mean (average) and half falls to the right.
The bell curve gets its name quite simply because its shape resembles that of a bell. These curves appear throughout the study of statistics, and their importance cannot be overemphasized. What Is a Bell Curve?
Normal distribution, the most common distribution function for independent, randomly generated variables. Its familiar bell-shaped curve is ubiquitous in statistical reports, from survey analysis and quality control to resource allocation. Learn more about normal distribution in this article.