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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 summarise a business data set
3. Utilise statistical techniques to calculate probabilities
4. Explain the nature of sample error and calculate this error for a number of sample parameters
5. Choose the appropriate statistical techniques for testing market 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
Lecture24No Description
Laboratory3SPSS Class in Computer Lab
Directed learning18Tutorial Question Sheets
Independent learning time10Using SPSS - Working with package using notes, case studies and other materials
Laboratory1MS EXCEL Tutorial
Assignment15Group Assignment using SPSS and MS EXCEL
Independent learning time5Learning Statistical Functions in MS EXCEL
Independent learning time30Studying Notes and Other Course Materials
Independent learning time10Indepedent Research on relevany course topics
Examination9Preparation for exam (past papers etc.) and sitting exam
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 Types and Data Types.

Descriptive Statistics.
Basic statistical techniques for describing datasets, Frequency Distributions and Crosstabs, Measures of Central Tendency, Dsipersion and Association.

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

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 our Regression model?, Applications of Linear 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
Group project Group assignment to analyse and present the reults of a statistical analysis of a Business Dataset. This will include the use of SPSS and MS Excel.30%Week 12
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
  • Pallant J: 2007, SPSS survival manual : a step by step guide to data analysis using SPSS for Windows, Oxford University Press,
  • Curwin J and Slater R.: 2008, Quantitative Methods for Business Decisions, 6th, Thomson Learning,
  • Berenson M.: 2002, Basic Business Statistics : Concepts and Applications, 8th, 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,
  • McClave J, Benson P: 1998, Statistics for Business and Economics, 7th, Prentice Hall,
  • Kinnear P., Gray C.: 2008, SPSS 15 made simple, Psychology Press,
Other Resources
None
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