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- Home
- About
- Discrete Random Variables
- Continuous Random Variables
- 2.1 – The Cumulative Distribution Function
- 2.2 – A Simple Example
- 2.3 – The Probability Density Function
- 2.4 – A Simple PDF Example
- 2.5 – Some Common Continuous Distributions
- 2.6 – The Normal Distribution
- 2.7 – A Geometric Problem
- 2.8 – Expected Value, Variance, Standard Deviation
- 2.9 – Example
- 2.10 – Lesson 2 Summary
- Additional Problems
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The content on the MATH 105 Probability Module by The University of British Columbia Mathematics Department has been released into the public domain. Anyone has the right to use this work for any purpose, without any conditions, unless such conditions are required by law.
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Acronyms
Throughout this website, the following acronyms are used.
PDF = probability distribution function
CDF = cumulative distribution function
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