| Description | Weighting (%) |
1. Probability - sample spaces and events, probability axioms, conditional probability, Bayes' Theorem, permutations and combinations.
| 15.00 |
2. Random Variables - discrete, continuous and mixed, mass functions, density functions, distribution functions, bivariate distributions, marginal and conditional mass and density functions
| 15.00 |
3. Expectation and Moments - mathematical expectation, algebra of expectations, covariance, conditional expectation, moments, moment generating functions
| 15.00 |
4. Standard Discrete Distributions - uniform, Bernoulli, binomial, geometric, negative binomial, hypergeometric Poisson
| 15.00 |
5. Standard Continuous Distributions - uniform, gamma, exponential, normal, bivariate normal
| 15.00 |
6. Transformations - distribution function, moment generating function and change of variables methods applied to discrete and continuous random variables in one and two dimensions
| 15.00 |
7. Sampling Distributions (t, F and chi-squared), Central Limit Theorem.
| 10.00 |
MATLAB, current version, Student Edition, CD and Users Guide.
Wackerly, D.D 2002,
MATLAB, current version, Student Edition, CD and Users Guide.
Berry, D.A., & Lindgren, B.W 1996,