Normal curve generally refers to normal distribution curve, which reflects the distribution law of random variables. Theoretically, the normal distribution curve is a bell-shaped curve with a high middle and a gradual decline at both ends.

Normal distribution, also known as "normal distribution" and Gaussian distribution, was first obtained by de moivre in the asymptotic formula for finding binomial distribution.

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Probability distribution of normal distribution curve. Normal distribution is the distribution of continuous random variables with two parameters μ and σ2. The first parameter μ is the mean of a random variable that obeys normal distribution, and the second parameter σ 2 is the variance of this random variable, so the normal distribution is recorded as N(μ, σ 2).

The probability law of random variables subject to normal distribution is that the probability of taking values near μ is high, and the probability of taking values far from μ is low; The smaller σ is, the more concentrated the distribution is around μ, and the larger σ is, the more dispersed the distribution is.