ST2334 - Course details

Course details:
Mid terms (30%) - Night time
Finals (70%) - 9am

Course contents:
- Basic concepts of probability
   - Sample space and events
   - Permutation and combination
   - Definition/conditional of probability
   - Multiplicative rule
   - total Porbability theorem
   - Independent events

- Basic conecept of random variables
Algebric
2D
Density function
Marginal and conditional probability distribution functions
Independent random variables
Definitions and properties of mean
Try to see if there are alteranitive wherether if there is another points

Common Probability Distributions
Discrete uniform distribution
Binomial
Normal
Geometirc
Negative
Continuous
Exponential

Sampling
Point estimation of mean and variance