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Course Description
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Course Name
Statistical Modelling I
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Host University
Queen Mary, University of London
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Location
London, England
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Area of Study
Mathematics, Statistics
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Language Level
Taught In English
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Course Level Recommendations
Upper
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.
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UK Credits
15 -
Recommended U.S. Semester Credits4
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Recommended U.S. Quarter Units6
Hours & Credits
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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.