Explain Probability density function?

jack89515lg

jack89515lg

Answered question

2021-11-26

Explain Probability density function?

Answer & Explanation

Troy Lesure

Troy Lesure

Beginner2021-11-27Added 26 answers

Step 1
In probability theory, a probability density function ( PDF) or continuous random variable density is a function whose value in the sample space (the set of possible values taken by the random variable) at any given sample (or point) can be interpreted as providing a relative probability that the value in the sample space (the set of possible values taken by the random variable)
Step 2
The probability density function ( pdf) for a continuous function is the probability that the variate has a value of x. Since the probability at one point is zero for continuous distributions.
The probability density function for continuous distribution is often expressed in terms of an integral between two points.
abf(x)dx=P[aXb]
The pdf is the probability that the variate takes the value x for a discrete distribution.
f(x)=P[X=x]

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