Stat447 Exam2 Study Guide (Fall 07)
Chapter 3: Sections 3.5 – 3.7
Joint Probability distribution/density
Marginal Distribution
Conditional Distribution
Chapter 4 :Sections 4.4 – 4.8
Chebyshev’s Theorm.(4.4)
(Law of Large numbers)
Moment Generating Function (4.5)
Covariance (4.6)
V(∑aiXi) (4.7)
Conditional Expectation (4.8)
Chapter 5 : Sections 5.2 – 5.5, 5.7:
Special discrete probability distributions---
Bernoulli, Binomial, Geometric, Negative Binomial, Poisson -
Know when and how to use them for finding probabilities
As well as their mean, variance and MGF.
Chapter 6 : Sections 6.2, 6.3, 6.5, 6.6:
Special Continuous variables/Probability densities and their mean etc---
Uniform, Gamma, Exponential, Chi-Square, Normal -
Know how to use Normal probability tables
Normal approximation to find Binomial probabilities for large n.
Chapter 7 : Sections 7.2 – 7.5
Distribution Function Technique.
Transformation Technique for One variable.
Transformation Technique for Two variables.
Moment Generating Function Technique.
General:
Go over homework, class exercises and handout problems.
