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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