Business Analytics 2023-24
Bangor Business School
Module - Semester 1
Collection and presentation of data, producing descriptive statistics, measuring uncertainty using probability, and investigating associations.
-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.
- Analyse data, and interpret the results.
- Apply the methods of statistical inference to formulate and test hypotheses
- Conduct data analysis.
- Describe and summarise data using tables, graphs and measures of central tendency and dispersion
- Estimate and specify confidence intervals for a mean and variance
- Investigate patterns of association between variables
Data Analysis Report
Exam (Centrally Scheduled)
End of semester exam