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### 52.2 Functions and Variables for continuous distributions

Maxima knows the following kinds of continuous distributions.

• Normal Random Variable: |  |
• Student's t Random Variable: |  |
• Noncentral Student's t Random Variable: |  |
• Chi-squared Random Variable: |  |
• Noncentral Chi-squared Random Variable: |  |
• F Random Variable: |  |
• Exponential Random Variable: |  |
• Lognormal Random Variable: |  |
• Gamma Random Variable: |  |
• Beta Random Variable: |  |
• Continuous Uniform Random Variable: |  |
• Logistic Random Variable: |  |
• Pareto Random Variable: |  |
• Weibull Random Variable: |  |
• Rayleigh Random Variable: |  |
• Laplace Random Variable: |  |
• Cauchy Random Variable: |  |
• Gumbel Random Variable: |  |

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