مادة دراسية
STAT324
Summary of the main learning outcomes for students enrolled in the course.
- Introduction to Sample space, Random events, Probability rules, Conditional probability, Baye’s rule.
- Definition of Random variables, Discrete and Continuous distributions.
- Definition of the mean (mathematical expectation) and the variance of a random variable. Mean and variance of a linear combination of independent random variables.
- Definition of Discrete distributions (Uniform, Binomial, Hyper geometric, Poisson).
- Definition of Continuous distributions (Uniform, Exponential, Normal).
- Sampling distributions of some sample statistics, the t-distribution.
- Emphasizing the concept of Estimation methods: Point estimation, Confidence interval estimation.
- Introducing the concepts involved in Testing Hypotheses. Hypotheses testing of a single Population parameter (mean, proportion, difference between two means and difference between two proportions of independent populations.