Module Code: H6QUANT
Long Title Quantitive and Qualitive Analysis
Title Quantitive and Qualitive Analysis
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. Recognise different types of data
LO2 LO 2. Extract information from tables, graphs and charts
LO3 LO 3. Graphically and numerically summarise and present information in a useful and informative manner
LO4 LO 4. Demonstrate knowledge of key probability concepts and their applications
LO5 LO 5. Be proficient in the principles and application of statistical inference and apply this knowledge in developing conclusions about populations based on sample results
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
Introduction
Definition and role of statistics Descriptive vs. Inferential Statistics Types of data and scales of measurement
Graphical Presentation of Data
Frequency tables and frequency distributions Graphical presentation of qualitative data Graphical presentation of quantitative data Relationship between two variables: contingency tables and scatter diagrams
Numerical Summary of Data
Measures of central tendency – mean, median, mode, geometric mean Measures of dispersion – range, mean deviation, population and sample variance and standard deviation Interpretation and uses of the standard deviation Skewness
Probability
The concept and language of probability The role of probability in statistics Approaches to assigning probabilities Rules of addition and multiplication for computing probability Conditional probability Principles of counting (permutation and combination formulas)
Probability Distributions
The concept of probability distribution Random variables Mean, variance and standard deviation of a probability distribution, the concept of expected value Binomial probability distribution Normal probability distribution Standardisation and probabilities under a normal curve
An Introduction to Statistical Inference
Sampling methods Sampling distribution of the sample mean Central Limit Theorem Point estimates and confidence intervals for a mean
Teaching methodology
This module will be taught using a combination of lectures and tutorials throughout the semester
Assessment Breakdown%
Coursework50.00%
End of Module Assessment50.00%

Assessments

Full Time

Coursework
Assessment Type: Assignment % of total: 50
Assessment Date: n/a Outcome addressed: 1,2,3,4,5
Non-Marked: No
Assessment Description:
Assessment
End of Module Assessment
Assessment Type: Terminal Exam % of total: 50
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 3 Every Week 3.00
Tutorial No Description 1 Every Week 1.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 3 Every Week 3.00
Total Weekly Contact Hours 3.00
 

Module Resources

Recommended Book Resources
  • Lind D.A., Marchal W.G., and Wathen S.A., Basic Statistics for Business and Economics, 6th International Ed., McGraw Hill, 2008.
Supplementary Book Resources
  • Taylor S., Business Statistics for Non-Mathematicians, 2nd Ed., Palgrave Macmillan, 2007.
This module does not have any article/paper resources
This module does not have any other resources
Discussion Note: