Module Code: H6QMET
Long Title Quantitative Methods
Title Quantitative Methods
Module Level: LEVEL 6
EQF Level: 5
EHEA Level: Short Cycle
Credits: 5
Module Coordinator: CORINA SHEERIN
Module Author: CORINA SHEERIN
Departments:  
Specifications of the qualifications and experience required of staff  
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 LO 1. Classify data according to the definitions of data types.
LO2 LO 2. List and define a range of types of sampling techniques.
LO3 LO 3. Represent data using appropriate graphical representations.
LO4 LO 4. Distinguish between the uses of population and sample statistics.
LO5 LO 5. Summarise sample data presented in different formats using descriptive statistics.
LO6 LO 6. Summarise population data presented in different formats using descriptive statistics.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).

No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Entry requirements  
 

Module Content & Assessment

Indicative Content
Data Collection (10%)
• Uses of data • Nature of data – qualitative, quantitative • Categories of data • Sources of data – primary, secondary • Data collection – questionnaires
Sampling (20%)
• Random sampling • Systematic sampling • Multistage sampling • Stratified sampling • Cluster sampling
Data Analysis (20%)
• Organising numerical data • Data presentation in tables and charts • Graphs
Numerical Descriptive Measures I (30%)
• Numerical data • Measures of central tendency – grouped and ungrouped data • Measures of dispersion – grouped and ungrouped data • Coefficient of variation
Numerical Descriptive Measures II (20%)
• Calculation of correlation coefficient • Interpretation of correlation coefficient • Simple linear regression • Multiple regression • Interpretation of regression results
Teaching methodology:
This module will be taught using a combination of: lectures; tutorials throughout the semester. These may include: group activities and or case studies.
Assessment Breakdown%
Coursework40.00%
End of Module Assessment60.00%

Assessments

Full Time

Coursework
Assessment Type: Assignment % of total: 40
Assessment Date: n/a Outcome addressed: 1,2,3,4,5,6
Non-Marked: No
Assessment Description:
n/a
End of Module Assessment
Assessment Type: Terminal Exam % of total: 60
Assessment Date: End-of-Semester Outcome addressed:  
Non-Marked: No
Assessment Description:
End-of-Semester Final Examination
No Workplace Assessment

NCIRL reserves the right to alter the nature and timings of assessment

 

Module Workload

Module Target Workload Hours 0 Hours
Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 2 Every Week 2.00
Tutorial No Description 2 Every Week 2.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 2 Every Week 2.00
Tutorial No Description 2 Every Week 2.00
Total Weekly Contact Hours 4.00
 

Module Resources

Recommended Book Resources
  • David M. Levine, Timothy C. Krehbiel, Mark L. Berenson.. Business Statistics: A First Course, 5th ed. Prentice Hall.
Supplementary Book Resources
  • Mark L Berenson, David M. Levine, Timothy C. Krehbiel. ,. Basic Business Statistics, 11th ed. Prentice Hall.
  • , Andrea Francis. Business Maths & Statistics, 5th ed. Letts Educational, : London,.
  • Donald Waters. Quantitative Methods for Business, 4th ed. Prentice Hall.
  • Sarah Boslaugh, Dr. Paul Andrew Watters.. Statistics in a Nutshell: A Desktop Quick Reference, 1st ed. O'Reilly Media.
This module does not have any article/paper resources
This module does not have any other resources
Discussion Note: