Introduction to Biostatistics

At the end of this course, student should be able to: 1. recognise the importance of data collection and its role in determining scope of inference; 2. demonstrate a solid understanding of interval estimation and hypothesis testing; 3. identify and apply appropriate statistical methods for analysing one or two variables; 4. utilise technology to perform descriptive and inferential data analysis for one or two variables; 5. interpret statistical results correctly, effectively, and in context; 6. identify and critique data-based claims; and 7. appreciate the power of data.

Description foundational concepts of biostatistics. Introduction to application of basic theoretical concepts of biostatistics in health science, epidemiology, and public health. Knowledge of measurement scales, types of variables and data along with various statistical methods for summarising and presenting different types of data will be provided. Introduction of the concept of probability with its applications in epidemiology and public health. Moderate level presentation of important probability distributions applied commonly in epidemiology and public health.