Statistical Modelling I

Queen Mary, University of London

Course Description

  • Course Name

    Statistical Modelling I

  • Host University

    Queen Mary, University of London

  • Location

    London, England

  • Area of Study

    Mathematics, Statistics

  • Language Level

    Taught In English

  • Course Level Recommendations


    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • UK Credits

  • Recommended U.S. Semester Credits
  • Recommended U.S. Quarter Units
  • Overview

    Credits: 15.0
    Overlap: None
    Prerequisite: "MTH5112, MTH5122"

    This is a first module on linear models and it concentrates on modelling the relationship between a continuous
    response variable and one or more continuous explanatory variables. Linear models are very widely used in
    almost every field of business, economics, science and industry where quantitative data are collected. They
    are also the basis for several more advanced statistical techniques covered in Level 6 modules. This module is
    concerned with both the theory and applications of linear models and covers problems of estimation, inference
    and interpretation. Graphical methods for model checking will be discussed and various model selection
    techniques introduced. Computer practical sessions, in which the Minitab statistical package is used to
    perform the necessary computations and on which the continuous assessment is based, form an integral part
    of the module.

    Assessment: 10.0% Coursework, 90.0% Examination
    Level: 5

Course Disclaimer

Courses and course hours of instruction are subject to change.

Eligibility for courses may be subject to a placement exam and/or pre-requisites.

Some courses may require additional fees.

Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.

Please reference fall and spring course lists as not all courses are taught during both semesters.

Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.


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