Introduction to Statistics

Module description

This module aims to provide knowledge of how to summarise and analyse data, to provide an insight into the concepts of probability and stochastic independence, understanding of statistical methodologies for testing hypotheses, and to provide skills in using statistical software.

Please note that this module cannot be taken with Statistics for Business and Management (BEE1025) or Introduction to Statistics for Accountants (BEA1012).

This module requires students to have at least a Grade B in A-Level Mathematics (or equivalent).

Additional Information:


The content of this module is universal and applicable around the world. It includes international examples with real statistical data from countries such as China, India, Europe and the UK.


Knowledge of statistics is essential for any business or economics student, so this module provides students with a valuable theoretical and practical understanding of the subject, as well as weekly assignments that enable them to work consistently with continuity and discipline.


All of the lecture notes and tutorial sets are available on the ELE (Exeter Learning Environment).


Full module specification

Module title:Introduction to Statistics
Module code:BEE1022
Module level:1
Academic year:2020/1
Module lecturers:
  • Dr Eva Poen - Convenor
Module credit:15
ECTS value:



Cannot be taken with BEE1025 or BEA1012.

This module is not available to Maths students.

Duration of module: Duration (weeks) - term 1:


Module aims

The module aims to provide students with an understanding of the role of statistical methodologies in economics through both the study of the theory of probability and statistics, and hands-on practice using the Excel and Stata with a variety of data types and models.

ILO: Module-specific skills

  • 1. construct charts and calculate appropriate descriptive statistics to summarise a data set
  • 2. understand discrete and continuous random variable, their distributions and moments
  • 3. solve a range of problems involving probability
  • 4. understand covariance, correlation, conditional probabilities and conditional expectations
  • 5. conduct and interpret the results of hypothesis testing
  • 6. demonstrate the ability to utilise a software package (Excel and Stata) for a range of statistical applications

ILO: Discipline-specific skills

  • 7. demonstrate awareness of the role of numerical evidence in economics

ILO: Personal and key skills

  • 8. demonstrate quantitative, computational and computer literacy skills
  • 9. demonstrate written communication skill

Learning activities and teaching methods (given in hours of study time)

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad

Details of learning activities and teaching methods

CategoryHours of study timeDescription
Contact hours22Lectures
Contact hours10Tutorials
Guided independent study118Independent study

Formative assessment

Form of assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
Weekly multi choice quizzes (online)10 minutes2,3,5,6,7ELE
Bi-Weekly tutorial exercises50 minutes6,7In class

Summative assessment (% of credit)

CourseworkWritten examsPractical exams

Details of summative assessment

Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
Examination702 hours1-3,5,6,7,8Final grade; Exam Solutions will be posted on ELE
Two Lab Class Multi Choice Quizzes205-10 minutes4,7ELE
Weekly Homework (online)1020 minutes2,3,5,6,7ELE

Details of re-assessment (where required by referral or deferral)

Original form of assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
Examination, Homework and Multi Choice QuizzesExamination (100%) 2 hours1-8August examination period

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
  • Inferences about Population Variances
  • Tests of Goodness of Fit and Independence
  • Analysis of Variance and Experimental Design
  • Main Non-parametric Methods of Inference

Indicative learning resources - Basic reading

The module content draws on two main texts:

Barrow, M. (2017) Statistics for Economics, Accounting & Business Studies, 7th edition, Harlow: Pearson Education.

Cortinhas, C. and Black, K. (2012), Statistics for Business and Economic, 1st European Edition, Chichester: John Wiley and Sons, Ltd. ISBN: 978-1-119-99366-7.

Students will also find useful the material in:

Anderson, D., Sweeney, D., Williams, T., Freeman, J. and E. Shoesmith (2010) ‘Statistics for Business and Economics’, second edition, University of Exeter Customized Edition, Cengage Learning, Andover, Hampshire, ISBN: 978-1-4080-3616-7.

Module has an active ELE page?


Origin date


Last revision date