Overview

The course will cover key statistical techniques including sampling methods, hypothesis testing, regression and correlation analysis. It will also cover the use of robustness testing, and the analysing of time series and panel data. There will also be instruction on data management and the use of the statistical tools within Excel.

Assessment Strategy

-threshold -D- to D+ (40-49%): No major omissions or inaccuracies in the deployment of information/skills. Some grasp of theoretical/conceptual/practical elements. Integration of theory/practice/information present intermittently in pursuit of the assessed work's objectives.

-good -B- to B+ (60-69%): Very good performance Most of the relevant information accurately deployed. Good grasp of theoretical/conceptual/practical elements. Good integration of theory/practice/information in pursuit of the assessed work's objectives. Evidence of the use of creative and reflective skills.

-excellent -A- to A+ (70%+): Outstanding performance. The relevant information accurately deployed. Excellent grasp of theoretical/conceptual/practice elements. Good integration of theory/practice/information in pursuit of the assessed work's objectives. Strong evidence of the use of creative and reflective skills.

-another level-C- to C+ (50-59%): Much of the relevant information and skills mostly accurately deployed. Adequate grasp of theoretical/conceptual/practical elements. Fair integration of theory/practice/information in the pursuit of the assessed work's objectives. Some evidence of the use of creative and reflective skills.

Learning Outcomes

• Analyse data, and interpret the results.

• Apply key statistical concepts.

• Carry out investigations using summary statistics, graphs, statistical techniques and exploratory data analysis, correlation and regression.

• Formulate and test hypotheses.

• Understand sampling methods and interpret statistical inference.