STA238 - Winter 2023
Probability, Statistics and Data Analysis II
Course description: An introduction to statistical inference and practice. Statistical models and parameters, estimators of parameters and their statistical properties, methods of estimation, confidence intervals, hypothesis testing, likelihood function, the linear model. Use of statistical computation for data analysis and simulation.
Luis’ office hours: Friday 3pm-4pm (online, see Quercus for link)
Tutorials (TUT0103): Wednesday 10am-11am, GB221
Tutorial activities: Marks will be assigned for tutorial activities, these activities will be submitted on Crowdmark. The instructions and deadlines will be provided on Crowdmark for each week. There will be 9 tutorial activities
Course announcements and assessments will be posted on the Quercus website.
Tutorial 1
Topic: The Central Limit Theorem
Tutorial 2
Topic: Unbiased estimators and variance computations
Tutorial 3
Topic: Point estimates of a sample and properties of the normal distribution
Tutorial 4
Topic: Hypothesis testing
Tutorial 5
Topic: Paired t-test
Tutorial 6
Topic: Method of Moments
Tutorial 7
Topic: Linear Regression
Tutorial 8
Topic: Linear Regression and Hypothesis Testing
Tutorial 9
Topic: One-way ANOVA and Tukey’s comparison test