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Expected Values of Continuous Variables by muhammad ali is a document available to read on EtoBox.

Continuous random variables can assume any value within an interval on the real line, such as daily rainfall or steel bar strength. They are described by a probability density function f(x) which must be non-negative and have a total area under the curve of 1. The expected value of a continuous random variable X with density f(x) is the integral of xf(x) from negative infinity to positive infinity. The variance of X is the expected value of the squared difference between X and its expected value. Examples a

Author

muhammad ali

Language

EN