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Rsch Sch of Finance, Actuarial Studies & App Stats · ANU College of Business and Economics
This course introduces students to the philosophy and methods of modern statistical data analysis and inference, with a particular focus on applications to the life sciences. The course has a strong emphasis on computing and graphical methods, and uses a variety of real-world problems to motivate the theory and methods required for carrying out statistical data analysis. This course makes extensive use of R statistical analysis package interfaced through R Studio.
Typical assessment may include, but is not restricted to: exams, assignments, quizzes, presentations and other assessment as appropriate
Learning outcomes 1, 2, 3, 4, 5
Students are expected to commit 130 hours of work in completing this course. This includes time spent in scheduled classes and self-directed study time
Information about the prescribed textbook will be available via the Class Summary