Poll
What is the most difficult concept to understand in probability?
- How to calculate a PDF when give a cumulative distribution function. (59%, 304 Votes)
- In MATH 105, there are no difficult topics on probability. (17%, 87 Votes)
- What a random variable is. (14%, 70 Votes)
- The difference between discrete and continuous random variables. (11%, 55 Votes)
Total Voters: 516
Loading ...
- 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
Copyright
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.
Technical Requirements
If you are having trouble viewing this website, please see the Technical Requirements page.
Acronyms
Throughout this website, the following acronyms are used.
PDF = probability distribution function
CDF = cumulative distribution function
Contact
Please visit our contact page for questions and comments.