The normal distribution, also known as the Gaussian distribution, is characterised by its bell-shaped curve and relevance towards applied mathematics. The normal distribution is important because, by the central limit theorem, sums or averages of many independent random variables with finite mean and variance are approximately normally distributed.
The normal distribution is often referred to as the "bell curve" due to its characteristic shape.
The normal distribution curve is shown as a smooth, symmetrical bell-shaped curve. The highest point of the curve corresponds to the mean (μ), which is also the median and mode of the distribution. The spread of the curve is determined by the standard deviation (σ).
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