Continuous Random Variables: PDFs, CDFs and the Uniform Distribution

What this note covers

1. 1. From Relative-Frequency Histograms to Continuous Models
2. 2. The Cumulative Distribution Function F(x)
3. 3. The PDF as the Derivative of the CDF
4. 4. Missing Constants, and Moving Between f and F
5. 5. The Continuous Uniform Distribution
6. 6. Expected Value, Variance and the Median
7. 7. Exam Technique and Common Traps

7 sections · 12 key terms & formulas · 6 common mistakes

Common questions