Module Identifier 
AC10410 
Module Title 
QUANTITATIVE METHODS FOR ACCOUNTING AND BUSINESS 
Academic Year 
2006/2007 
Coordinator 
Mr Alan Jones 
Semester 
Semester 2 
Other staff 
Mrs Glenda Roberts 
Mutually Exclusive 
EC10910 
Course delivery 
Lecture  18 Hours. (18 x 1 hour lectures) 

Seminars / Tutorials  6 Hours. (6 x 1 hour tutorials) 

Practical  2 Hours. (2 x 1 hour computer practicals) 
Assessment 
Assessment Type  Assessment Length/Details  Proportion 
Semester Exam  2 Hours (written examination)  80% 
Semester Assessment  continuous assessment  20% 
Supplementary Exam  2 Hours Written exam  100% 

Learning outcomes
On completion of this module, a student should be able to:
1. Summarise and present a data set;
2. Calculate various summary measures for grouped and ungrouped data;
3. Construct and interpret statistical diagrams;
4. Fit a straight line to suitable data;
5. Calculate and interpret correlations;
6. Describe and illustrate basic probability concepts;
7. Calculate and interpret expectations;
8. Solve simple linear programming problems;
9. Use and interpret the output from statistical software.
Content
1. STATISTICAL DIAGRAMS: pie charts; simple multiple and stacked barcharts; histograms; cumulative polygons; stem and leaf diagrams
2. SUMMARY MEASURES: minimum, maximum, median, quartiles, percentiles; five number summaries and boxandwhisker plots; mean and mode; variance and standard deviation; calculations from grouped data.
3. SCATTERPLOTS, REGRESSION AND CORRELATION : scatterplots; the idea of a line of best fit; importance of the mean point; least squares regression; the existence of two regression lines for bivariate data; correlation and its measurement; the (product moment) correlation coefficient; Spearman'r rank correlation.
4. PROBABILITY: definition and properties; unions and intersections; mutually exclusive events; the addition law; independent events; the multiplication law; equally likely outcomes; conditional probability; binomial probabilities.
5. LINEAR PROGRAMMING: equations of straight lines; formulating simple linear programming problems; feasible regions; the objective line; deducing the optimum.
The computer package MINITAB: introduction, producing and interpreting diagrams and tables, producing and interpreting summary measures; regression and correlation.
Brief description
This module introduces statistical methods and the application of formal decision models in a business context, together with the use of statistical computer software. The software package MINITAB is used in practical classes.
Aims
To introduce students to quantitative methods and to appreciate their importance in business.
Reading Lists
Books
** Supplementary Text
Swift, Louise. (2001.) Quantitative methods for business, management and finance /Louise Swift.
Palgrave 0333920759
** Consult For Futher Information
Croft, Anthony (1997.) Foundation maths /Anthony Croft, Robert Davison.
Addison Wesley 0201178044
Curwin, J, and Slater, R, (1996) Quantitative Methods for Business Decisions
5/e. International Thomson Business Press 1861520271
Curwin, Jon (2000.) Improve your maths :a refresher course /Jon Curwin and Roger Slater.
Business Press 1861525516
Notes
This module is at CQFW Level 4