MODULE CODE BEE1022 MODULE LEVEL 1 MODULE TITLE ...

MODULE CODE BEE1022 MODULE LEVEL 1
MODULE TITLE Introduction to Statistics
LECTURER(S) Dr Carlos Cortinhas
CREDIT VALUE 15 ECTS VALUE 7.5
PRE-REQUISITES None
CO-REQUISITES None
DURATION OF MODULE 1 semester
TOTAL STUDENT STUDY TIME 150 hours comprising 36 contact hours and 114 hours of
independent study
AIMS
The module aims to provide students with an understanding of the role of statistical methodologies in
economics and in the business and management environment through both theoretical input and
extensive hands-on practice, using the Excel and Minitab software with a variety of data types and
statistical models.
INTENDED LEARNING OUTCOMES (ILOs)
On successful completion of this module, students should be able to:
Module Specific Skills:
1. construct charts and calculate appropriate descriptive statistics to summarise a data set
2. solve a range of problems involving probability
3. compute and interpret the results of hypothesis testing
4. fit and interpret bivariate and multivariate regression models
5. demonstrate the ability to utilise a software package (Excel and Minitab) for a range of statistical
applications
6. compute and interpret a variety of parametric and non-parametric methods of inference
Discipline Specific Skills:
7. demonstrate awareness of the role of numerical evidence in the business and management
environment
Personal and Key Skills:
8. demonstrate quantitative, computational and computer literacy skills
9. demonstrate written communication skills
LEARNING/TEACHING METHODS
The module will be taught by lectures and tutorials. There will be two one-hour lecture and a one-hour
tutorial per week (in a computer lab) plus revision lecture(s) at the end of the programme giving a total
contact time of 36 hours. Students are required to attend all lectures and tutorials. A register will be taken
in tutorials and attendance will be monitored in lectures.
The lectures provide a broad introduction to each topic, emphasise key points and demonstrate use of the
software. The lectures are supported by directed reading and questions/exercises that are dealt with in the
tutorials.
It is essential that students undertake the directed reading and are fully prepared for tutorials.
ASSIGNMENTS & ASSESSMENTS
Formative or %
Contribution:
Form of
Assessment:
Formative Weekly multi choice
quizzes (online)
Formative Weekly tutorial
exercises
90% of the
final mark
Size of the
assessment e.g.
duration/length
ILOs assessed
by this
assessment:
10-20 minutes ILOs 2,3,4,6,7,8 VLE
1 hour ILOs 7,8 In class
Feedback method:
Examination 2 hour ILOs 1-4,6,7,8,9 Final grade; Exam
Solutions will be
posted on VLE
10% of the Weekly multi choice 5-10 minutes ILOs 5,8 VLE

final mark quizzes on Excel
and Mintab (in
tutorials)
SYLLABUS PLAN
• An Introduction to Statistics
• Descriptive Statistics: Tabular and Graphical Methods
• Descriptive Statistics: Numerical Methods
• Introduction to Probability
• Discrete Probability Distributions
• Continuous Probability Distributions
• Sampling and Sampling Distributions
• Interval Estimation
• Hypothesis Tests
• Statistical Inference about Means and Proportions with two Populations
• Inference about Population Variances
• Tests of Goodness of Fit and Independence
• Analysis of Variance and Experimental Design
• Simple Linear Regression
• Multiple Regression
• Regression Analysis: Model Building
• Revision
INDICATIVE LEARNING RESOURCES
Indicative basic reading list:
The main text is:
• Anderson, D., Sweeney, D., Williams, T., Freeman, J. and Shoesmith, E. (2010) Statistics for
Business and Economics, 2 nd edition, Andover, Hampshire: Cengage Learning.
Students will also find useful the material in:
• Bowerman, L., O’Connell, R., Orris, J. and E. Murphree (2008), Essentials of Business
Statistics, 3 rd edition, London: McGraw-Hill.
• Barrow, M. (2006) Statistics for Economics, Accounting & Business Studies, 4 th edition,
London: Financial Times Prentice Hall.
DATE OF LAST REVISION June 2010