Module Details
| Module Code: |
STAT6012 |
| Title: |
Maths & Stats for Marketing
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Long Title:
|
Statistics & Mathematics for Marketing
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| NFQ Level: |
Fundamental |
| Valid From: |
Semester 1 - 2014/15 ( September 2014 ) |
| Field of Study: |
4620 - Statistics
|
| Module Description: |
This module provides the learner with a foundation in Mathematics and Statistics for Marketing.
|
| Learning Outcomes |
| On successful completion of this module the learner will be able to: |
| # |
Learning Outcome Description |
| LO1 |
Explain the importance of Statistics and Mathematics in the solution of business problems. |
| LO2 |
Describe various data collection techniques and sampling methods. |
| LO3 |
Apply the methods of descriptive statistics to organise, summarise, present and analyse data. |
| LO4 |
Choose, use and interpret summary statistics. |
| LO5 |
Calculate probabilities using the basic rules of probability and solve related applied problems. |
| LO6 |
Use a software package for statistical calculations and analysis. |
| Dependencies |
Module Recommendations
This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
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Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
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| No incompatible modules listed |
Co-requisite Modules
|
| No Co-requisite modules listed |
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
|
| No requirements listed |
| Indicative Content |
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Introduction to Mathematics and Statistics for Marketing
Discussion of the importance of Mathematics and Statistics in Marketing. Arithmetic - number operations, precedence, fractions, decimals, percentages, ratio. Statistics - introduction to and discussion of descriptive statistics, inferential statistics.
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Sampling techniques
What is sampling? Why is it used? What types of sampling can be used? Sampling Methods, Survey and Questionnaire Design.
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Descriptive and Summary Statistics
Frequency distribution, histograms, cumulative frequency distribution, ogives. Nominal, ordinal, ratio and interval data. Measures of central tendency - mean, mode, median. Discussion on the symmetry and asymmetry of distributions. Measures of variability - range, quartiles, percentiles, standard deviation, variance, skewness and kurtosis.
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Probability
Definition of probability. Examples illustrating the use of elementary probability in decision making. The complementary event. The elementary rules for calculation of probabilities: the addition rule, conditional probabilities and the multiplication rule. Independent events. Introduction to Bayes' theorem. Expected values.
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Laboratory programme
Use of Excel or an equivalent to perform statistical and financial calculations and graphs connected to the headings above.
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Module Content & Assessment
|
| Assessment Breakdown | % |
|---|
| Coursework | 40.00% |
| End of Module Formal Examination | 60.00% |
Assessments
| End of Module Formal Examination |
|
|
| Reassessment Requirement |
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.
|
The University reserves the right to alter the nature and timings of assessment
Module Workload
| Workload: Full Time |
| Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
| Lecture |
Contact |
Lecture |
Every Week |
3.00 |
3 |
| Tutorial |
Contact |
Questions and answers on lecture material, homework and tutorial sheets |
Every Second Week |
0.50 |
1 |
| Lab |
Contact |
Mathematics/Statistics Computer Laboratory |
Every Second Week |
0.50 |
1 |
| Total Hours |
5.00 |
| Total Weekly Learner Workload |
4.00 |
| Total Weekly Contact Hours |
4.00 |
| Workload: Part Time |
| Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
| Lecture |
Contact |
Lecture |
Every Week |
2.00 |
2 |
| Tutorial |
Contact |
Questions and answers on lecture material, homework and tutorial sheets |
Every Second Week |
0.50 |
1 |
| Lab |
Contact |
Mathematics/Statistics Computer Laboratory |
Every Second Week |
0.50 |
1 |
| Independent & Directed Learning (Non-contact) |
Non Contact |
Review of lecture material, completion of homework sheets |
Every Week |
4.00 |
4 |
| Total Hours |
8.00 |
| Total Weekly Learner Workload |
7.00 |
| Total Weekly Contact Hours |
3.00 |
|
Module Resources
|
| Recommended Book Resources |
|---|
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Tadhg O'Shea. Essential Statistics for Researchers, [ISBN: 9780957505902].
| | Supplementary Book Resources |
|---|
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Andre Francis,. (2004), Business Mathematics and Statistics, Thomson Learning, [ISBN: 9781844801282].
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W. M. Harper,. (2000), Statistics, 6th. [ISBN: 9780273634263].
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Mark L. Berenson, David M. Levine, Timothy C. Krehbiel. (2009), Basic business statistics, Pearson/Prentice Hall, Upper Saddle River, N.J., [ISBN: 978-0-13-500936-9].
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Charles Henry Brase, Corrinne Pellillo Brase. (2012), Understanding basic statistics, Houghton Mifflin, Boston, MA, [ISBN: 978-1111827021].
| | This module does not have any article/paper resources |
|---|
| Other Resources |
|---|
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Website, CIT. Maths Online,
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Website, CIT. Blackboard,
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Website, Wolfram Alpha,
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