Collecting data; summarizing and displaying data; drawing conclusions and making decisions using data; probability background, confidence intervals, hypotheses tests, regression, correlation. Not open ...

Explain why probability is important to statistics and data science. See the relationship between conditional and independent events in a statistical experiment. Calculate the expectation and variance ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

The course provides a precise and accurate treatment of probability, distribution theory and statistical inference. As such there will be a strong emphasis on mathematical statistics as important ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

Lectures: Mondays, Wednesdays and Fridays - 9:30am in WMC3520 (Sept 3/13 - Dec 2/13) Office Hours: Mondays, Wednesdays and Fridays 10:30-11:30, Sept 13/13 - Dec 15/13 ...

Circular statistics is a specialised subfield of statistics that focuses on analysing data points distributed on a circle. Unlike conventional linear statistics, circular data is characterised by ...

Office Hours: Wednesdays 12:30-13:20 or by appointment (make use of office hours - only send email in emergencies). If nobody shows up within the first 10 minutes of my office hour, then I may go ...