Question

Properties that must be satisfied by probability density function

Answer 1

hey!!

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Probability Density Function:-

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• The probability density function is the probability function which is defined for the continuous random variable. The probability density function is also called the probability distribution function or probability function. It is denoted by f (x).

example:-

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• A probability density function is an equation used to compute probabilities of continuous random variables. The equation must satisfy the following two properties:

• The total area under the graph of the equation over all possible values of the random variable must equal 1.

• The height of the graph of the equation must be greater than or equal to 0 for all possible values of the random variable.