Standard normal distribution calculator

This calculator requires a browser that uses Javascript features. This script generates a set of normal distribution values, the characteristics of the mean and standard deviation, and calculates the input based on the fill-in value. In probability statistics, the statistical distribution of standard deviations is the most common. As a simple definition, how to spread the standard deviation of the values in a set of data. If the data points are all similar, then the standard deviation is low (close to zero). If the data points are highly variable, then the standard changes (further from zero). The standard deviation defines the square root of the variance of the formula. This indicates that its root mean square (RMS) deviation is average. The standard deviation is always a positive number and is always measured in the same unit as the original data. For example, if the distance of the data, the measured size in meters, the standard deviation will also be calculated in meters.

The Normal distribution, also known as the Gaussian distribution, is a very important probability distribution in the fields of mathematics, physics, and engineering, and has a significant influence in many aspects of statistics. The expected value μ = 0, that is, the normal axis of the curve image symmetry axis is the Y axis, and the standard deviation σ = 1, which is denoted as N (0, 1).

Standard normal distribution

The standard normal distribution, also known as the u distribution, is a normal distribution with 0 as the mean and 1 as the standard deviation, denoted as N(0,1).

The area distribution under the standard normal distribution curve is: the area under the curve in the range of -1.96 to +1.96 is equal to 0.9500, and the area under the curve in the range of -2.58 to +2.58 is 0.9900.

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