CONCEPT INDEX
Probability & Statistics
Below is a summary of the content areas covered by modules about Probability and Statistics. Many of these concepts have modules that illustrate the concepts visually, and allow user input. Most modules were written as part of the Project Links NSF Grant. A few are from other sources, but are appropriate to this topic.
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Essentials of Probability
- Probability on a Sample Space
- Conditional Probability
- Bayes Formula
- Total Probability Theorem
- Independence
- Random Variables
- Random Variable as a Measurement
- Probability Mass Function (PMF) for a Discrete Random Variable
- Cumulative Distribution Function (CDF)
- Probability Density Function (pdf) for Continuous Random Variables
- Properties of Continuous Random Variables
- Expectation
- Important Discrete Random Variables
- Important Continuous Random Variables
- Central Limit Theorem (CLT) Applet (guest module)
Statistics
- Mean, Median & Mode
- Samples of a Random Variable
- Histograms
- Histogram Applet (guest module)
Application Fields
- Communication Networks
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