Module Code: H6IBSTAT
Long Title Introduction to Business Statistics
Title Introduction to Business Statistics
Module Level: LEVEL 6
EQF Level: 5
EHEA Level: Short Cycle
Credits: 5
Module Coordinator: MICHELE KEHOE
Module Author: Andrea Del Campo Dugova
Departments: School of Business
Specifications of the qualifications and experience required of staff

A lecturer with expertise in quantitative methods.
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Demonstrate an understanding of the fundamentals of quantitative methods and the role of statistics in business.
LO2 Gain an in-depth understanding of the different levels of measurement and when they should be used.
LO3 Demonstrate a familiarity with various descriptive statistics and make decisions as to when such tests should be used.
LO4 Demonstrate an understanding of different measures of variance and their advantages/disadvantages.
LO5 Communicate and interpret statistics in a technical and non-technical manner.
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 to quantitative methods
• Descriptive statistics and inferential statistics • Statistics vs parameters • Sampling methods and measurement error • Reliability and validity of measures
Variables and levels of measurement
• Independent variables and dependent variables • Levels of measurement (nominal, ordinal, interval, ratio) • Advantages/disadvantages of the different levels of measurement
Introduction to Excel
• Overview of the basics to using Excel • Creating variables • Entering data • Using functions in Excel • Summing variables
Displaying data
• How to present and display different types of data (categorical/continuous data • Using a variety of methods to present data/statistics (tables, bar charts, pie charts, dot plots, stem-and-leaf, histograms, line graphs, scatterplots) • Displaying/presenting data in Excel
Central tendency
• Introduction to central tendency • Calculating the mean, median, and mode • Advantages/disadvantages of using the mean, median, mode and conditions under which they should be used • Using functions in Excel to get different types of averages • Introduction to the central limit theorem and the normal distribution
Variability
• What is variability and why is it important? • How to measure variability • Different measures (range, interquartile range, variance, standard deviation) • Difference between sample and population measures of variance • Using Excel to get different measures of variance • Standard deviation and the normal distribution • The normal distribution • Chebyshev’s theorem • Deviation from normality • Skewness (positive/negative) • Kurtosis (mesokurtic, leptokurtic, platykurtic)
Assessment Breakdown%
Coursework100.00%

Assessments

Full Time

Coursework
Assessment Type: Continuous Assessment % of total: 100
Assessment Date: n/a Outcome addressed: 1,2,3,4,5
Non-Marked: No
Assessment Description:
Students will have an exam. The exam will consist of multiple-choice questions and short answer questions. The exam will consist of questions from each topic covered during the semester.
No End of Module Assessment
No Workplace Assessment
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.
Reassessment Description
Students must attempt all assessment components. If the student fails the module overall, they must repeat all failed, missed, or deferred assessments.

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 24 Per Semester 2.00
Tutorial No Description 12 Per Semester 1.00
Independent Learning Time No Description 89 Per Semester 7.42
Total Weekly Contact Hours 3.00
 

Module Resources

Recommended Book Resources
  • Lind D.A., Marchal W.G., and Wathen S.A.. (2017), Statistical Techniques in Business and Economics, 17th. McGraw Hill.
Supplementary Book Resources
  • Francis, A. and Mousley, B.. (2014), Business Mathematics and Statistics, 7th. Cenage Learning.
  • Holmes, A., Illowsky, B., & Dean, S.. (2017), Introductory Business Statistics,, OpenStax.
This module does not have any article/paper resources
This module does not have any other resources
Discussion Note: