Module Details

Module Code: STAT6009
Title: Statistics for Tourism
Long Title: Statistics for Tourism
NFQ Level: Fundamental
Valid From: Semester 1 - 2017/18 ( September 2017 )
Duration: 1 Semester
Credits: 5
Field of Study: 4620 - Statistics
Module Delivered in: 3 programme(s)
Module Description: A first course in statistical data analysis as required for the tourism industry. The emphasis is on the use of software tools and the analysis and interpretation of computer-generated output.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Tabulate data and represent data in graphical form.
LO2 Calculate and interpret summary statistics.
LO3 Construct, interpret, and use index numbers.
LO4 Describe and employ the functions of financial mathematics.
LO5 Use a spreadsheet package to generate solutions and reports for statistical and financial data 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).

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.
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
Descriptive statistics
Presentation of data in the form of charts and graphs, including histograms, ogives, bar charts and pictograms. Measures of central tendency and other measures of location, quartiles, deciles and percentiles, advantages and disadvantages. Measures of dispersion, range, and standard deviation.
Index Numbers
Analysis of the consumer price index and the role of recreation and culture, and restaurants and hotels therein, construction of simple indices, Laspeyres and Paasche and inflation/deflation using index numbers.
Financial Mathematics
Simple and compound interest, APR, depreciation and annuities, NPV and IRR.
Module Content & Assessment
Assessment Breakdown%
Coursework100.00%

Assessments

Coursework
Assessment Type Practical/Skills Evaluation % of Total Mark 20
Timing Week 4 Learning Outcomes 1,2,5
Assessment Description
Practical (Excel) Assessment
Assessment Type Practical/Skills Evaluation % of Total Mark 20
Timing Week 8 Learning Outcomes 3,4,5
Assessment Description
Practical (Excel) Assessment
Assessment Type Practical/Skills Evaluation % of Total Mark 60
Timing Sem End Learning Outcomes 1,2,3,4,5
Assessment Description
Open Book Exam. in Laboratory
No 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 Theory Class Every Week 2.00 2
Lab Contact Computer Laboratory Class Every Week 2.00 2
Tutorial Contact Review of theory; tutorial sheets Every Second Week 0.50 1
Independent & Directed Learning (Non-contact) Non Contact Study and assigned Homework Every Week 2.00 2
Independent & Directed Learning (Non-contact) Non Contact Study and assigned homework Every Second Week 0.50 1
Total Hours 8.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.50
Workload: Part Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Theory Every Week 1.50 1.5
Lab Contact Computer laboratory Every Week 1.50 1.5
Independent & Directed Learning (Non-contact) Non Contact Study and assigned homework Every Week 3.00 3
Independent & Directed Learning (Non-contact) Non Contact Study and assigned homework Every Second Week 0.50 1
Tutorial Contact Review of lecture material; tutorial sheets Every Second Week 0.50 1
Total Hours 8.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 3.50
 
Module Resources
Recommended Book Resources
  • Tadhg L. O'Shea. (2013), Essential Statistics for Researchers, [ISBN: 9780957505902].
Supplementary Book Resources
  • Andre Francis. (2004), Business Mathematics and Statistics, 6th. Thomson Learning, [ISBN: 9781844801282].
  • Charles Henry Brase, Corrinne Pellillo Brase. (2016), Understanding Basic Statistics, 7th. Cengage Learning, [ISBN: 9781305873490].
  • Mark L. Berenson, David M. Levine, Timothy C. Krehbiel. (2014), Basic Business Statistics, Pearson/Prentice Hall Upper Saddle River, N.J., [ISBN: 9780321870025].
This module does not have any article/paper resources
Other Resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_FTRSM_8 Bachelor of Business (Honours) in Tourism Management 4 Mandatory
CR_FTOUR_7 Bachelor of Business in Tourism Management 4 Mandatory
CR_FTOUR_6 Higher Certificate in Business in Tourism Management 4 Mandatory