HBC203 Statistics and Data Analysis for the Social and Behavioural Sciences introduces students to the basic principles of quantitative data analysis and helps them develop the skills required for working with statistical data. As they will encounter quantitative data in everyday life, it is essential for them to acquire a competent understanding of how statistics can be used to summarise and interpret the information in the world around them. This course focuses on the application of various statistical tools and methods in the behavioural sciences. The topics will include principles of measurement, measures of central tendency and variability, correlations, simple regression, hypothesis testing, t-tests, analysis of variance, and chi-square tests. Students will have the opportunity to learn to use statistical software (e.g., R, SPSS) and acquire practical experience so that they are able to visualise and analyse data independently to address relevant social and behavioural science questions.
Credit Units: 5
Presentation Pattern: Every semester
E-Learning: BLENDED - Learning is done ENTIRELY online using interactive study materials in Canvas. Students receive guidance and support from online instructors via discussion forums and emails. There are no face-to-face sessions. If the course has an exam component, this will be administered on-campus.