Biostatistics

At the end of this course, the students should be able to: 1. define basic statistical terminologies; 2. explain various types of statistics and their uses; 3. differentiate between descriptive, qualitative and quantitative data); 4. utilise statistical methods to analyse, present and interpret data; and 5. communicate data analysis result based on informed decision.

Review of basic statistical terminologies. Discrete/categorical and continuous data. Descriptive/quantitative and qualitative data. Parameters and statistics. Parametric and non parametric statistics. Review of descriptive statistics. Inferential statistics. Errors – type 1 and type 11. Hypothesis testing. Level of significance. Degree of freedom. Inferences and conclusion from statistical analysis. Statistical packages (such as SPSS latest Ed and many others). Data organisation and interpretation - frequency distribution tables, graphs, charts, cumulative frequencies and curves. Data communication and data-informed decision making. The nurse’s role in data collection and data quality.