Probability Density Function (PDF)

It is a function that maps each value of the random variable to its corresponding probability of occurrence, describing the probability distribution of a Continuous Random Variable.

Formula:

Types:

1. Normal distribution
2. Exponential distribution
3. Uniform distribution
4. Binomial distribution
5. Poisson distribution
6. Gamma distribution
7. Beta distribution
8. Chi-squared distribution
9. F-distribution

Notes:

• The PDF of a continuous random variable is non-negative for all values of the variable. Meaning for all in the range of the variable
• The PDF of a continuous random variable integrates to 1 over the entire range of the variable. Meaning