Statistics

Description

This course provides an introduction to the basic concepts and practices of data analysis and inferential statistics. It will provide and understanding of several techniques including testing one or more means from sampled populations (t-Tests and ANOVAs), relationships between scale variables (correlations and regressions), and contingency table analysis (Chi-square tests). The course places emphasis on understanding the use of appropriate data for these tests, the use of exploratory data analysis and the underlying distributions and assumptions associated with these tests. Students will learn how to carry out these tests by hand, via the use of statistical software (R), check assumptions, interpret results and report findings in plain English. Assumed prior knowledge: Grade 12 Maths A or B or equivalent. Incompatible: 1003ENV Statistics, 2012MSC Biostatistics, 2012HSC, Intro to Biomedical Data Analysis, Bioinformatics, 1003PSY Research Methods and Statistics in Psychology, 1002MSC Introduction to Biomedical Data Analysis NOTE: this course is only offered on-campus, and students are expected to attend exams and weekly classes on campus, in person.