Statistical Analysis and Methods ACCFIN2018
- Academic Session: 2023-24
- School: Adam Smith Business School
- Credits: 20
- Level: Level 2 (SCQF level 8)
- Typically Offered: Semester 1
- Available to Visiting Students: Yes
The general aim of this introductory course in statistics is to provide a challenging and interesting introduction to the application of statistics for conducting business and financial research.
Lectures: 10x3 hours of Lectures
Labs: 5x1 hour Labs
Tutorials: 4x1 hour Tutorials
Lab/Tutorial time-slots can be selected on MyCampus
Main Assessment In: December
Are reassessment opportunities available for all summative assessments? No
Reassessments are normally available for all courses, except those which contribute to the Honours classification. For non Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade.
Reassessment opportunities are provided in accordance with School policy as applied to assessed groupwork.
This course aims to encourage students to acquire statistical reasoning and thinking skills and to relate those skills to business problem solving and conducting business research.
Students will explore:
1. Frameworks and concepts relevant for developing statistical reasoning.
2. Frameworks and concepts relevant for statistical thinking.
3. How statistical models, concepts and reasoning can be used to examine the relationships across business and financial variables.
4. How to communicate effectively with peers, colleagues and specialists.
5. How to work with others in a problem-solving context.
Students will also build skills in identifying the sources of business and financial data for statistical analysis.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
1. Utilise different types of graphical displays and descriptive statistics appropriate to characterise different types of business and financial data.
2. Compare the characteristics of different probability distributions relevant to business and financial research.
3. Be aware of the different types of sampling techniques.
4. Estimate population mean using point and interval estimators.
5. Conduct rigorous hypothesis test using sample information.
6. Use linear regression models to estimate the relationship between variables.
7. Work collaboratively in a group to produce a combined piece of coursework.
Minimum Requirement for Award of Credits
Students must submit at least 100% by weight of the components (including examinations) of the course's summative assessment.