Module BIF-1701:
Quantitative Methods I
Quantitative Methods I 2024-25
BIF-1701
2024-25
Bangor Business School
Module - Semester 1
15 credits
Module Organiser:
Debbie Gilliland
Overview
To provide students with the key statistical tools and mathematical techniques relevant to the field of banking, accounting, and finance. To provide students with an appropriate foundation for Quantitative Methods II.
Indicative Content:
• Introduction to Statistics • Survey of Probability Concepts • Discrete Probability Distribution • Continuous Probability Distribution • Sampling and Sampling Distribution • Estimation and confidence interval about a single population • One sample tests of Hypothesis • Correlation & Linear Regression Analysis
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
- Apply probability tools to represent situations of uncertainty and calculate probabilities.
- Carry out investigations using summary statistics, graphs, techniques of exploratory data analysis, correlation and linear regression.
- Demonstrate an understanding of fundamental statistical concepts, including probability andsampling, and use mathematical tools to solve financial problems.
- Describe discrete and continuous probability distributions and use them to calculate probabilities.
- Use estimation and hypothesis testing techniques for a single population, including point and interval estimation, and one-sample tests of hypothesis.
Assessment method
Class Test
Assessment type
Summative
Description
Students will take a one hour-long test. The tests will require students to define and describe statistical concepts and their usage in business. They will also be required to solve short problems to check their ability to use relevant formula/statistical processes. Each test will cover different topics. The tests allow students to receive continuous feedback in relation to their progress in the course.
Weighting
40%
Assessment method
Exam (Centrally Scheduled)
Assessment type
Summative
Description
Students will take an unseen two-hour-long examination paper. The examination will focus on definitions, concepts, methods, and applications of statistical, probabilistic and mathematical tools.
Weighting
60%