Module overview
This module introduces some key concepts about the use of some basic statistical and analytical techniques within the marketing context. Students will learn through a combination of lectures, group work, practical (computer-lab) sessions (where needed), and self-study. After studying this module, students will be able to apply these techniques to analyse data in practice.
Aims and Objectives
Learning Outcomes
Subject Specific Practical Skills
Having successfully completed this module you will be able to:
- apply and critically evaluate marketing intelligence techniques and use them to draw practical recommendations;
- apply marketing concepts and evaluate them by using marketing intelligence techniques.
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- implement analytic models to support marketing decision making.
- differentiate suitable approaches for a range of analytics tasks;
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- explain concepts clearly and critically apply findings.
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- how to use analytic techniques to evaluate the quality of data for supporting marketing decisions;
- how to apply standard analytical tools to support marketing decisions.
Syllabus
- Data types and their sources
- Univariate/Descriptive statistics
- Probability, cross tabulation and chi square
- Discrete, Continuous and Sampling distributions
- Interval estimation
- Hypothesis testing
- Comparisons of means
- Correlation and linear regression
Learning and Teaching
Teaching and learning methods
The basic principal of the teaching and learning strategy for this unit is to encourage you to actively engage in the subject matter through guided self-discovery of the material which will include: Reading; lecture slides; case studies; discussion and debate.
| Type | Hours |
|---|---|
| Revision | 30 |
| Follow-up work | 32 |
| Practical classes and workshops | 10 |
| Completion of assessment task | 28 |
| Lecture | 24 |
| Wider reading or practice | 15 |
| Preparation for scheduled sessions | 11 |
| Total study time | 150 |
Resources & Reading list
Textbooks
McGivern, Yvonne (2013). The Practice of Market Research. An Introduction. Pearson.
Cortinhas, C. and Black, K. (2012). Statistics for Business and Economics. Wiley.
Jelen, Bill, and Alexander, M. (2016). Excel 2016 Pivot Table Data Crunching. Pearson Education.
McDaniel, Carl, and Gates, R. (2015). Marketing Research. USA: John Wiley & Sons, Inc.
Middleton, Michael R. (2004). Data Analysis Using Microsoft Excel. Thomson.
Burns, A. C., Veeck, A. and Bush. R. F. (2016). Marketing Research. Pearson.
McFedries (2013). Excel Data Analysis, Visual Blueprint. Wiley.
Winston, W. L (2014). Marketing Analytics: Data-Driven Techniques with Microsoft Excel. Somerset: John Wiley & Sons, Incorporated. Available from ProQuest Ebook Central.
Assessment
Formative
This is how we’ll give you feedback as you are learning. It is not a formal test or exam.
Class Exercise
- Assessment Type: Formative
- Feedback: Formative feedback will be provided to students during lectures, class exercises, computer laboratories, office hours, and via email when questions are asked of the module leader.
- Final Assessment: No
- Group Work: No
Summative
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Essay | 100% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Essay | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
| Method | Percentage contribution |
|---|---|
| Essay | 100% |
Repeat Information
Repeat type: Internal & External