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Description

Introduction to Statistics

Module titleIntroduction to Statistics
Module codeINT1003
Academic year2021/2
Credits15
Module staff

Michael Samuel Hughes (Convenor)

Duration: Term123
Duration: Weeks

12

12

0

Number students taking module (anticipated)

200

Description - summary of the module content

Module description

Statistics inform decision makers in all areas of society, for example, Government policymakers, investment planners, business managers, education providers or healthcare managers. In this module you will learn how to summarise and analyse data, test hypotheses and find relationships between different features in a business context. You will learn how to use statistics to draw conclusions, make sensible decisions and justify your decisions in your business presentations.

This module is the equivalent of BEE1022. No prior knowledge of statistics is assumed for this module.

Module aims - intentions of the module

This module is an introduction to the basic concepts of statistics and will give a strong foundation to the statistical content that will be continued in the second year of a business degree. It will provide students with an understanding of the statistical methodologies used in economics, in the business and management environments, and also other disciplines of study.

Intended Learning Outcomes (ILOs)

ILO: Module-specific skills

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

  • 1. Compute and graph salient features of experimental and survey data, manually
  • 2. Carry out a hypothesis test in a variety of contexts
  • 3. Calculate basic statistics and use them to compare data sets
  • 4. Apply certain parametric and non-parametric statistical tests
  • 5. Interpret the results of certain statistical tests in a variety of situations
  • 6. Fit and interpret bivariate regression models
  • 7. Develop a strong foundation in probability

ILO: Discipline-specific skills

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

  • 8. Apply fundamental statistical methods
  • 9. Analyse data and draw conclusions from the data
  • 10. Calculate and interpret statistical parameters

ILO: Personal and key skills

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

  • 11. Develop a toolkit for data analysis
  • 12. Present information in different formats

Syllabus plan

Syllabus plan

  • Introduction to Statistics, Scales of measurement.
  • Descriptive Statistics: Frequency Tables, Frequency Distributions.
  • Descriptive Statistics: Numerical Measures.
  • Descriptive Statistics: Graphical Methods.
  • Discrete and continuous random variables.
  • Discrete and continuous probability distributions.
  • Classical probability concepts.
  • Sampling Methods and the Central Limit Theorem.
  • Estimation and Confidence Intervals.
  • One-Sample and Two-Samples Tests of Hypothesis.
  • Analysis of Variance.
  • Correlation and Linear Regression.
  • Nonparametric Methods: Goodness-of-Fit tests and tests of relationship

Learning and teaching

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

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad
70800

Details of learning activities and teaching methods

CategoryHours of study timeDescription
Scheduled learning and teaching activities (Synchronous)20Lectures and workshop activities
Scheduled learning and teaching activities (Synchronous)30Seminar – these will be teacher led. You should prepare for each seminar based on the related lecture.
Formative assessed activities (Asynchronous)20Working on solving problems, online activities.
Guided Independent Study80Reading and research, practice of techniques, web-based activities

Assessment

Formative assessment

Form of assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
4 case studies5 hours each1-12Online and verbal
12-14 Quizzes1 hour each1-12Online and verbal

Summative assessment (% of credit)

CourseworkWritten examsPractical exams
30700

Details of summative assessment

Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
Written Examination 1 (online, open book)101 hour1, 2, 6-8, 10Verbal in lectures, on ELE
Written Examination 2 (online, open book)602 hours3, 4, 9, 10On ELE
Coursework assessments (online)304 assessed ELE quizzes at 5 hours each1-12Online

Re-assessment

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

Original form of assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
Written Examination (online. open book)Written examination (2.5 hours)1-12Next assessment opportunity

Re-assessment notes

Deferral – if you miss an assessment for reasons judged legitimate by the Mitigation Committee, the applicable assessment will normally be deferred. See ‘Details of reassessment’ for the form that assessment usually takes. When deferral occurs there is ordinarily no change to the overall weighting of that assessment.

Referral – if you have failed the module overall (i.e. a final overall module mark of less than 40%) you will be required to take a re-sit exam. Only your performance in this exam will count towards your final module grade. A grade of 40% will be awarded if the examination is passed.

Resources

Indicative learning resources - Basic reading

Hughes M. (2019). An Introduction to Statistics. Pearson

Lind, D. A., Marchal, W. G. & Wathen, S. A. (2013). Basic Statistics for Business & Economics (8th Ed.). New York: McGraw Hill Irwin.

Indicative learning resources - Web based and electronic resources

https://vohmrknxu6hheya1997j6a-on.drv.tw/TextBook/Introduction to Statistics-FC7.html

Course Lectures and worklog is available through ELE in addition to online assessments. 

http://vle.exeter.ac.uk/course/view.php?id=3291 

 

 

Module has an active ELE page

Indicative learning resources - Other resources

Other resources,  through both self research and those presented or referenced to by the lecturer 

Key words search

Statistics business measurement percentages  pie charts  tables descriptive diagrams calculating correlation regression logarithms  time charts average trends  deterministic sampling distribution mean confidence intervals normally probabilities testing

Credit value15
Module ECTS

7.5

Module pre-requisites

None

Module co-requisites

None

NQF level (module)

4

Available as distance learning?

Yes

Origin date

16/05/08

Last revision date

30/07/2021