Mathematical Probability Theory
A probability density function (PDF) is a function that describes the likelihood of a continuous random variable taking on a particular value. The PDF is integral in determining probabilities over intervals and is closely linked to cumulative distribution functions, expectation, variance, and various common distributions like uniform, normal, and exponential. It helps in understanding the behavior of continuous random variables by providing a framework for calculating probabilities and expectations.
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