Applied Statistical Methods
University of Sydney
Area of Study
Taught In English
PrerequisitesPrerequisites and assumed knowledgeENVX1001 or ENVX1002 or BIOM1003 or MATH1011 or MATH1015
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits4
Recommended U.S. Quarter Units6
Hours & Credits
OverviewThis unit of study is a core 2nd year unit for students in the BEnvSys, BScAgr and BAVBSc degrees. It consists of two parts. In the first part students will learn the basics of experimental design and investigate how to use an ANOVA to analyse experiments with more than 2 treatment levels, multiple factors and different blocking designs. In the second part an introduction to a branch of mathematics called linear algebra is given with an emphasis on the applications to statistics and modelling. In this part the students will learn to model relationships between response and predictor variables using regression, and find patterns in datasets with many variables using principal components. During the practicals two software packages; Genstat and Excel, will be used to analyse real datasets. At the end of this unit, students will have learnt how to design and experiment and how to analyse data using ANOVA, regression and principal components, the basic methods needed for their future studies and careers.
Courses and course hours of instruction are subject to change.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.