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MA30091: Applied statistics

Follow this link for further information on academic years Academic Year: 2012/3
Follow this link for further information on owning departmentsOwning Department/School: Department of Mathematical Sciences
Follow this link for further information on credits Credits: 6
Follow this link for further information on unit levels Level: Honours (FHEQ level 6)
Follow this link for further information on period slots Period: Semester 2
Follow this link for further information on unit assessment Assessment: CW 100%
Follow this link for further information on supplementary assessment Supplementary Assessment: Like-for-like reassessment (where allowed by programme regulations)
Follow this link for further information on unit rules Requisites: Before taking this unit you must take MA30084
Follow this link for further information on unit content Description: Aims:
To complement MA30084 with practical applications of generalised linear models thorough analysis of real-life statistical problems. Learning Outcomes On completing the course, students should be able to
* formulate a problem and carry out an exploratory data analysis;
* apply the theory of linear and generalised linear models to real data;
* use R for all aspects of data analysis;
* present results in a suitable style.

Content:
Application of linear models and generalised linear models to practical problems and implementation in R.
Formulating statistical problems. Choosing an appropriate method of analysis, model-building, verification of assumptions. Working with real-life data. Presentation of results in an appropriate format.
Application of the above through tackling a variety of real-life statistical problems.
Follow this link for further information on programme availabilityProgramme availability:

MA30091 is Compulsory on the following programmes:

Department of Mathematical Sciences
  • USMA-AFB05 : BSc (hons) Statistics (Full-time) - Year 3
  • USMA-AKB06 : BSc (hons) Statistics (Full-time with Thick Sandwich Placement) - Year 4
  • USMA-AAB06 : BSc (hons) Statistics with Study Year Abroad (Full-time with Study Year Abroad) - Year 4

MA30091 is Optional on the following programmes:

Department of Mathematical Sciences
  • USMA-AFB15 : BSc (hons) Mathematical Sciences (Full-time) - Year 3
  • USMA-AKB16 : BSc (hons) Mathematical Sciences (Full-time with Thick Sandwich Placement) - Year 4
  • USMA-AAB16 : BSc (hons) Mathematical Sciences with Study Year Abroad (Full-time with Study Year Abroad) - Year 4
  • USMA-AFB13 : BSc (hons) Mathematics (Full-time) - Year 3
  • USMA-AKB14 : BSc (hons) Mathematics (Full-time with Thick Sandwich Placement) - Year 4
  • USMA-AFB01 : BSc (hons) Mathematics and Statistics (Full-time) - Year 3
  • USMA-AKB02 : BSc (hons) Mathematics and Statistics (Full-time with Thick Sandwich Placement) - Year 4
  • USMA-AAB02 : BSc (hons) Mathematics and Statistics with Study Year Abroad (Full-time with Study Year Abroad) - Year 4
  • USMA-AAB14 : BSc (hons) Mathematics with Study Year Abroad (Full-time with Study Year Abroad) - Year 4
  • USMA-AFM14 : MMath Mathematics (Full-time) - Year 3
  • USMA-AFM14 : MMath Mathematics (Full-time) - Year 4
  • USMA-AAM15 : MMath Mathematics with Study Year Abroad (Full-time with Study Year Abroad) - Year 4
  • TSMA-AFM09 : MSc Mathematical Sciences (Full-time) - Year 1
  • TSMA-APM09 : MSc Mathematical Sciences (Part-time) - Year 1
  • TSMA-APM09 : MSc Mathematical Sciences (Part-time) - Year 2
  • TSMA-AFM08 : MSc Modern Applications of Mathematics (Full-time) - Year 1
  • TSMA-AFL02 : PG Dip Modern Applications of Mathematics (Full-time) - Year 1

Notes:
* This unit catalogue is applicable for the 2012/13 academic year only. Students continuing their studies into 2013/14 and beyond should not assume that this unit will be available in future years in the format displayed here for 2012/13.
* Programmes and units are subject to change at any time, in accordance with normal University procedures.
* Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.