The Gaussian distribution, also known as the normal distribution, is a continuous probability distribution that is symmetrical around its mean, depicting the idea that data near the mean are more frequent in occurrence than data far from the mean. This distribution is characterized by its bell-shaped curve and is defined by two parameters: the mean (average) and the standard deviation (spread or width of the curve). Its properties make it fundamental in statistics and probability theory, often used to model natural phenomena and errors in measurements.
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