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University of Exeter Business School

Introduction to Statistics

Module titleIntroduction to Statistics
Module codeBEE1022
Academic year2023/4
Module staff

Dr Sarah Schneider-Strawczynski (Convenor)

Dr Eva Poen (Convenor)

Duration: Term123
Duration: Weeks




Number students taking module (anticipated)


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) or Statistics for Business (BEM1024).

This module requires students to have at least a Grade B in A-Level Mathematics (or equivalent). This module is not available to maths students.

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).


Module aims - intentions of the module

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 Excel with a variety of data types.

Intended Learning Outcomes (ILOs)

ILO: Module-specific skills

On successfully completing the module you will be able to...

  • 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 hypothesis tests and interpret their results
  • 6. Demonstrate the ability to utilise a software package (Excel and Stata) for a range of statistical applications

ILO: Discipline-specific skills

On successfully completing the module you will be able to...

  • 7. Demonstrate awareness of the role of numerical evidence in economics
  • 8. Demonstrate understanding of the advantages, disadvantages, and limitations of different quantitative methods

ILO: Personal and key skills

On successfully completing the module you will be able to...

  • 9. Demonstrate quantitative, computational and computer literacy skills

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

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
Scheduled learning and teaching activity22Lectures
Scheduled learning and teaching activity10Tutorials
Guided independent study118Reading, question practice, class and assessment preparation

Formative assessment

Form of assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
Weekly tutorial exercises50 minutes1-9In 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
Five online homework quizzes20ca. 30 minutes each1-9ELE
Excel test 102 hours1,2,6,9ELE
Final examination702 hours1-5, 7-9Final grade; feedback will be posted on ELE

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

Original form of assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
Five online homework quizzes (20%)Single online homework quiz (20%)1-9August/September reassessment period
Excel test (10%)Excel test (online) (2 hours, 10%)1,2,6,9 August/September reassessment period
Final examination (70%)Examination (2 hours, 70%)1-5, 7-9August/September reassessment period

Re-assessment notes

Referrals and deferrals will normally take place in the August/September Reassessment Period

The Excel Test requires access to Excel and ELE.

If you pass the module overall you will not be referred in any component – even if you have not passed one or more individual components.

Indicative learning resources - Basic reading

Indicative reading list: selected chapters of some or all of the following textbooks:

  • Utts, Jessica M and Heckard, Robert F. (2015), Mind on Statistics, 5th edition, Cengage Learning. ISBN: 978-1-285-46318-6
  • 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
  • Peck, R., Short, T. and Olsen, C. (2020), Introduction to Statistics and Data Analysis, 6th edition, Cengage Learning. ISBN: 978-1-337-79361-2
  • Anderson, D., Sweeney, D., Williams, T., Camm, J., Cochran, J., Fry, M. and Ohlmann, (2020) ‘Essentials of Statistics for Business and Economics’, Cengage Learning, ISBN: 978-0-357-04543-5

Indicative learning resources - Web based and electronic resources

ELE – College to provide hyperlink to appropriate pages

Indicative learning resources - Other resources


Credit value15
Module ECTS


Module pre-requisites

Grade B or higher in A-Level Mathematics (or equivalent)

Module co-requisites

Cannot be taken with BEE1025, BEM1024 or BEA1012

This module is not available to Maths students

NQF level (module)


Available as distance learning?


Origin date


Last revision date