FAD1015 Tutorial 8 — Uniform & Exponential Distributions
Tutorial questions on continuous uniform and exponential distributions. Source file: FAD1015 25-26 Tutorial 8 Questions.pdf
Summary
Problem set covering uniform distribution (constant probability) and exponential distribution (waiting times, memoryless property) with practical applications.
Topics Covered
1. Uniform Distribution
- PDF and CDF calculations
- Expected value and variance
- Probability over intervals
2. Exponential Distribution
- PDF: f(x) = λe^(-λx)
- CDF: F(x) = 1 - e^(-λx)
- Mean and standard deviation: 1/λ
- Memoryless property applications
3. Relationship to Poisson
- Poisson: events per unit time
- Exponential: time between events
- λ parameter connection
Key Formulas
Uniform Distribution [a, b]:
- PDF: f(x) = 1/(b-a)
- E[X] = (a + b)/2
- Var(X) = (b-a)²/12
Exponential Distribution:
- PDF: f(x) = λe^(-λx), x ≥ 0
- CDF: F(x) = 1 - e^(-λx)
- E[X] = 1/λ
- Var(X) = 1/λ²
Memoryless Property: $$P(X > s + t \mid X > s) = P(X > t) = e^{-\lambda t}$$
Problem Types
- Uniform: Finding probabilities over intervals, expected values
- Exponential: Waiting time problems, reliability, survival analysis
- Memoryless: Conditional probability problems
- Poisson-Exponential Link: Converting between event counts and waiting times
Related Lectures
- FAD1015 L17-L18 — Uniform & Exponential Distributions + R Intro
- FAD1015 L14 — Poisson Distribution — related distribution
- FAD1015 L15-L16 — Normal Distribution & Approximation — other continuous distributions
Related Concepts
Related Course Page
- FAD1015 - Mathematics III