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) 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).


Full module specification

Module title:Introduction to Statistics
Module code:BEE1022
Module level:1
Academic year:2021/2
Module lecturers:
  • Dr Eva Poen - Convenor
  • Dr Namhyun Kim - Convenor
Module credit:15
ECTS value:



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


Cannot be taken with BEE1025, BEM1024 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 Excel with a variety of data types.

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 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

  • 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

  • 9. demonstrate quantitative, computational and computer literacy skills.

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 (online)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
Homework quizzes: 5 each at 4% (20%) Any quizzes deferred will be ‘set-aside’*; any quizzes failed will also be ‘set-aside’* if the module is failed overall**August/September Reassessment Period
Excel test (10%)Excel test (online) (2 hours, 10%)1,2,6,9 Referral/Deferral Period
Final Examination (70%)Examination (2 hours, 70%)1-5, 7-9August/September Reassessment Period

Re-assessment notes

Deferrals will take place as soon as possible within the same term; Referrals** and any further deferrals will take place in the August/September Reassessment Period

*’Set-aside’ means that assessment is excluded from the overall module mark, and an overall mark is calculated from the remaining assessments with those remaining assessments re-weighted in proportion to produce a mark of up to 100%.

So for this module, if one of the quizzes (4% of the module) were to be ‘set-aside’ the marks for the remaining components would be added together and the maximum effective mark would be 96%. This would then be re-weighted to produce a mark up to 100%.

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.

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

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.

Module has an active ELE page?


Origin date


Last revision date