Registry

Module Specifications

Current Academic Year 2012 - 2013
Please note that this information is subject to change.

Module Title
Module Code
School
Online Module Resources

Module TeacherGerry Conyngham
NFQ level 8 Credit Rating
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None
Description
To give the student the necessary skills- to analyse efficiently a business dataset- to interpret the output of a statistical analysis.In addition the course aims to give the students an insight into the role of statistical techniques in a business environment.

Learning Outcomes
1. Differentiate between different types of measurement
2. Use descriptive statistical techniques to describe a business dataset
3. Utilise statistical techniques to calculate probabilities
4. Explain the nature of sample error and calculate this error for a number a sample parameters
5. Choose the appropriate statistical techniques for testing business research hypotheses
6. Use SPSS and MS EXCEL for analysing data and generating statistical reports
7. Interpret statistical output and effectively present the results of this output



Workload Full-time hours per semester
Type Hours Description
Lecture20No Description
Laboratory3SPSS Tutorials
Lab1MS EXCEL Tutorial
Independent learning10Using SPSS - Getting to know package, using notes,examples and other mterials
Directed learning12Completing Tutorial Sheets
Assignment20Genertaing Statsitics using SPSS and MS EXCEL
Assignment15Group Statistics Project
Independent learning5Using Statistical Functions in MS EXCEL
Independent learning30Studying notes and other class materials
Independent learning9Independent research on relevant topics
Total Workload: 125

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities
Data and Measurement.
Data Sources, Measurement and Data Types.

Descriptive Statistics.
Basic statistical techniques for describing data sets. Frequency Distributions and Crosstabs, Measures of Central Tendency, Dispersion and Association.

Probability.
Rules of Probability, A priori and Empirical Probabilities, Probability Distributions; Normal, Poisson and Binomial Distributions.

Statistical Estimation.
Sample Estimates and Sample Error, Central Limit Theorem, Confidence Intervals for Sample Parameters.

Statistical Tests.
What is a Statistical Test? Why we need Statistical Tests, Steps involved in a Statistical Test, Understanding Statistical Significance, Summary of some widely used Tests.

Linear Regression.
Simple Linear Regression, Multiple Linear Regression, How good is a Regression Model?, Applications of Regression.

SPSS.
Introduction to SPSS, Using SPSS to generate Descriptive Statistics, Using SPSS to run Statistical Tests.

Assessment Breakdown
Continuous Assessment% Examination Weight%
Course Work Breakdown
TypeDescription% of totalAssessment Date
ProjectUsing SPSS and MS EXCEL to effectively describe a set of data - Case study problem utilising probability techniques60%Week 7
Group assignmentGroup assignment involving use of SPSS to test a number of business statistical hypotheses40%Week 9
Reassessment Requirement
Resit arrangements are explained by the following categories;
1 = A resit is available for all components of the module
2 = No resit is available for 100% continuous assessment module
3 = No resit is available for the continuous assessment component
This module is category
Indicative Reading List
  • Curwin J. and Slater R.: 2008, Quantitative Methods for Business Decisions, 6th Ed., Thomson Learning,
  • Berenson M.: 2002, Basic business statistics : concepts and applications, 8th Ed., Prentice Hall,
  • McClave J, Benson P.: 1998, Statistics for business and economics, 7th Ed., Prentice Hall,
  • Bradley T.: 2007, Essential statistics for economics, business and management, Wiley,
  • Stuart M.: 2003, An introduction to statistical analysis for business and industry : a problem solving approach, Oxford University Press,
  • Kinnear P, Gray C.: 2008, SPSS 15 made simple, Psychology Press,
  • Pallant J.: 2007, SPSS survival manual : a step by step guide to data analysis using SPSS for Windows, Oxford University Press,
Other Resources
None
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Programme or List of Programmes
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