Course overview
This course aims to provide students with a solid foundation in the fundamental principles and theoretical frameworks of probability and statistics, with the specific purpose of going on in more advanced statistics.
Course learning outcomes
- Explain the common named discrete and continuous random distributions and apply them to modelling situations.
- Apply the formal rules of probability, conditional probability and independence to calculate probabilities and expectations.
- Estimate distribution parameters given observed data
- Annotate and critique statistical derivations
- Apply probability and statistical theory concepts in an applied example