Multivariate Statistics

Victoria University of Wellington

Course Description

  • Course Name

    Multivariate Statistics

  • Host University

    Victoria University of Wellington

  • Location

    Wellington, New Zealand

  • Area of Study

    Mathematics, Statistics

  • Language Level

    Taught In English

  • Prerequisites

    MATH 277 or STAT 233 or (STAT 292, 391)

  • 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.

    Hours & Credits

  • Credit Points

    15
  • Recommended U.S. Semester Credits
    3 - 4
  • Recommended U.S. Quarter Units
    4 - 6
  • Overview

    General concepts and various practical analysis techniques are introduced for multivariate data. Topics will be chosen from: principal component analysis, cluster analysis, factor analysis, discriminant analysis, canonical correlations, the multivariate general linear model and multidimensional scaling. Statistical software will be used to apply the techniques to multivariate data.

    Course learning objectives
    Students who pass this course will be able to:

    • Understand the characteristic features of multivariate data;
    • Identify and use various multivariate statistical techniques for summarising and classifying multivariate data;
    • Understand and be able to apply the multivariate general linear model in a variety of contexts for statistical modelling and inference;
    • Confidently use a statistical software package (SAS Enterprise Guide) to perform multivariate analysis.

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.

Availability of courses is based on enrollment numbers. All students should seek pre-approval for alternate courses in the event of last minute class cancellations

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.