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In probability theory, a probability distribution is called continuous if its cumulative distribution function is continuous. This is equivalent to saying that for random variables X with the distribution in question, Pr[X = a] = 0 for all real numbers a, i.e.: the probability that X attains the value a is zero, for any number a. If the distribution of X is continuous then X is called a continuous random variable.

1. Beta Distribution

2. Chi-Square Distribution

3. Exponential Distribution

4. Gamma Distribution

5. Gumbel Distribution

6. Laplace Distribution

7. Lognormal Distribution

8. Normal (Gaussian) Distribution

9. Pareto Distribution

10. Rayleigh Distribution

11. Student t-Distribution

12. Uniform Distribution

13. Weibull Distribution