On completion of this course the student will be able to:
1. Distinguish between different types of data;
2. Interpret summary statistics and graphical displays commonly presented in the quality in health care literature;
3. Understand that variation in inherent in all measurements;
4. Describe the issues to be considered when designing measurement instruments;
5. Explain the difference between hypothesis testing and parameter estimation;
6. Use statistical software to:
a. Undertake data management processes;
b. Carry out exploratory data analyses;
c. Construct and analyse graphical displays of variation including control charts;
d. Calculate and interpret correlation coefficients and regression equations.

Course content consists of learning modules covering:
1. Summarising and presenting numerical data
2. Measurement and data management
3. Exploratory data analysis
4. Making decisions based on data a. Statistical inference
5. Making decisions based on data b. Statistical process control
6. Correlation and regression

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Distance Learning : IT Based
Distance Learning : Paper Based
External Mode

Email Discussion Group
Self Directed Learning

Email Discussion Group: for 2 hour(s) per Week for Full Term
Self Directed Learning: for 6 hour(s) per Week for Full Term