Introduction to Statistics
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).
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).
[PLEASE NOTE THIS MODULE IS NOT AVAILABLE TO MATHS STUDENTS]
Full module specification
|Module title:||Introduction to Statistics|
Cannot be taken with BEE1025 or BEA1012.
This module is not available to Maths students.
|Duration of module:||
Duration (weeks) - term 1: |
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 Activities||Guided independent study||Placement / study abroad|
Details of learning activities and teaching methods
|Category||Hours of study time||Description|
|Guided independent study||118||Independent study|
|Form of assessment||Size of the assessment (eg length / duration)||ILOs assessed||Feedback method|
|Weekly multi choice quizzes (online)||10 minutes||2,3,5,6,7||ELE|
|Bi-Weekly tutorial exercises||50 minutes||6,7||In class|
Summative assessment (% of credit)
|Coursework||Written exams||Practical exams|
Details of summative assessment
|Form of assessment||% of credit||Size of the assessment (eg length / duration)||ILOs assessed||Feedback method|
|Examination||70||2 hours||1-3,5,6,7,8||Final grade; Exam Solutions will be posted on ELE|
|Two Lab Class Multi Choice Quizzes||20||5-10 minutes||4,7||ELE|
|Weekly Homework (online)||10||20 minutes||2,3,5,6,7||ELE|
Details of re-assessment (where required by referral or deferral)
|Original form of assessment||Form of re-assessment||ILOs re-assessed||Timescale for re-assessment|
|Examination, Homework and Multi Choice Quizzes||Examination (100%) 2 hours||1-8||August examination period|
- 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?
Last revision date