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The normal distribution is a statistical distribution.

Many naturally occurring variables follow the normal distribution: examples are peoples' height, weights.

The sum of independent, identically distributed variables - whatever their own underlying distribution - will tend towards the normal distribution as the number in the sum increases. This means that the mean of repeated measures of ANY variable will approach the normal distribution.

Furthermore, some distributions that are not normal to start with, can be converted to normality through simple transformations of the variable.

These characteristics make the normal distribution very important in statistics. See attached link for more.

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Q: What is normal distribution in statstics?
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