Normal Distribution
Normal distribution, also known as Gaussian distribution, is a probability distribution that is symmetric around the mean value. It is a continuous probability distribution that is widely used in statistics, natural sciences, social sciences, and engineering to represent real-valued random variables whose distributions are not known. The normal distribution is characterized by two parameters: the mean and the standard deviation. The mean determines the location of the peak of the distribution, while the standard deviation determines the spread of the distribution. The normal distribution is important in data science because many natural phenomena and human behaviors follow this distribution. It is also used in hypothesis testing, confidence interval estimation, and machine learning algorithms such as linear regression and logistic regression.
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