Computational Complexity Theory
Normal distribution is a probability distribution that is symmetric around the mean, representing a bell-shaped curve where most of the observations cluster around the central peak. This distribution is fundamental in statistics and probability theory, as many statistical tests and methods assume data follows this pattern, making it essential for understanding average-case complexity and distributional problems.
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