Show/hide contentOpenClose All
Curricular information is subject to change
On completion of this module students should be able to:
- Discuss and use the main concepts and approaches of descriptive statistics;
- Calculate, analyse, visualise and present useful statistical measurements from large-scale data sets;
- Use common probability distributions and statistical functions;
- Devise, test and interpret inferential statistical statements about population parameters;
- Prepare spreadsheet models to store, manipulate and analyse quantitative data;
- Interpret the results of data analyses with a view to informing decision making.
Main topics:
- The role of data analysis in business and decision making
- Data Gathering, Visualisation and Presentation
- Descriptive Statistics
- Basic Probability
- Conditional Probability and Bayes's Theorem
- Probability Distributions and Random Variables
- Discrete Probability Distributions
- Continuous Probability Distributions
- The Normal Distribution
- Sampling
- Confidence Intervals
- Hypothesis Testing
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Tutorial | 12 |
Specified Learning Activities | 20 |
Autonomous Student Learning | 70 |
Total | 126 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Group Project: Team assignment: Descriptive Statistics report | Week 6 | n/a | Graded | No | 30 |
Examination: Main Written Exam | 2 hour End of Trimester Exam | No | Graded | No | 70 |
Resit In | Terminal Exam |
---|---|
Autumn | Yes - 2 Hour |
• Group/class feedback, post-assessment
Not yet recorded.