Introduction to Statistics
Module title | Introduction to Statistics |
---|---|
Module code | BEE1022 |
Academic year | 2024/5 |
Credits | 15 |
Module staff | Dr Sarah Schneider-Strawczynski (Convenor) Dr Eva Poen (Convenor) |
Duration: Term | 1 | 2 | 3 |
---|---|---|---|
Duration: Weeks | 11 | 0 | 0 |
Number students taking module (anticipated) | 350 |
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Module description
Summary:
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.
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:
Internationalisation
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.
Employability
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.
Sustainability
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 Activities | Guided independent study | Placement / study abroad |
---|---|---|
32 | 118 | 0 |
Details of learning activities and teaching methods
Category | Hours of study time | Description |
---|---|---|
Scheduled learning and teaching activity | 22 | Lectures |
Scheduled learning and teaching activity | 10 | Tutorials |
Guided independent study | 118 | Reading, question practice, class and assessment preparation |
Formative assessment
Form of assessment | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
---|---|---|---|
Weekly tutorial exercises | 50 minutes | 1-9 | In class |
Summative assessment (% of credit)
Coursework | Written exams | Practical exams |
---|---|---|
20 | 70 | 10 |
Details of summative assessment
Form of assessment | % of credit | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
---|---|---|---|---|
Five online homework quizzes | 20 | ca. 30 minutes each | 1-9 | ELE |
Excel test | 10 | 2 hours | 1,2,6,9 | ELE |
Final examination | 70 | 2 hours | 1-5, 7-9 | Final grade; feedback will be posted on 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 |
---|---|---|---|
Five online homework quizzes (20%) | Single online homework quiz (20%) | 1-9 | August/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, 7-9 | August/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
None
Credit value | 15 |
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Module ECTS | 7.5 |
Module pre-requisites | Grade B or higher in A-Level Mathematics (or equivalent) |
Module co-requisites | Cannot be taken with BEE1025, BEM1024 or BEA1014 This module is not available to Maths students |
NQF level (module) | 4 |
Available as distance learning? | No |
Origin date | 01/09/2006 |
Last revision date | 14/03/2024 |