University of Canterbury Home
    • Admin
    UC Research Repository
    UC Library
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    1. UC Home
    2. Library
    3. UC Research Repository
    4. Faculty of Engineering | Te Kaupeka Pūhanga
    5. Engineering: Conference Contributions
    6. View Item
    1. UC Home
    2.  > 
    3. Library
    4.  > 
    5. UC Research Repository
    6.  > 
    7. Faculty of Engineering | Te Kaupeka Pūhanga
    8.  > 
    9. Engineering: Conference Contributions
    10.  > 
    11. View Item

    Making statistics real: Working with Statistics New Zealand (2006)

    Thumbnail
    View/Open
    12601510_Main.pdf (26.35Kb)
    Type of Content
    Conference Contributions - Published
    UC Permalink
    http://hdl.handle.net/10092/84
    
    Publisher
    University of Canterbury. Mathematics and Statistics.
    Collections
    • Engineering: Conference Contributions [2344]
    Authors
    Brown, J.A.
    Penny, R.
    Reale, M.
    show all
    Abstract

    At University of Canterbury (UC) the statistics group have developed a statistics teaching program that has a high level of involvement of the official statistics agency, Statistics New Zealand. Statistics NZ involvement in the teaching programme includes participating in the teaching of courses, providing statistics examples for student assignments, industry placement of student and student financial support. Their involvement is more in-depth than these tangible contributions. By having Statistics NZ staff in our department, and joint research projects between the department and the statistics group at UC, students come in contact with "statistics in action". The students have regular interaction with practicing statisticians and have the opportunity to formally, or informally, discuss trends and developments in statistical methods.

    Citation
    Brown, J.A., Penny, R., Reale, M. (2006) Making statistics real: working with Statistics New Zealand. Salvador, Brazil: 7th International Conference on Teaching Statistics, 2-7 Jul 2006.
    This citation is automatically generated and may be unreliable. Use as a guide only.
    Rights
    https://hdl.handle.net/10092/17651

    Related items

    Showing items related by title, author, creator and subject.

    • Drawing well-spread samples from spatial populations 

      McDonald T; Brown J; Price C; Robertson, Blair (2022)
    • Extreme Events Decision Making in Transport Networks: A Holistic Approach Using Emergency Scenarios and Decision Making Theory 

      Ferreira, F.; Dantas, A.; Seville, E.; Giovinazzi, S. (University of Canterbury. Civil and Natural Resources Engineering, 2010)
      This paper proposes a novel method to analyse decision-making during extreme events. The method is based on Decision-making Theory and aims at understanding how emergency managers make decisions during disasters. A data ...
    • Using graphical modelling in official statistics 

      Penny, R. N.; Reale, M. (University of Canterbury, 2004)
      People using economic time series would like them to be available as soon as possible after the end of the reference period. However there can be difficulties in getting all the responses required to produce a series of ...
    Advanced Search

    Browse

    All of the RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThesis DisciplineThis CollectionBy Issue DateAuthorsTitlesSubjectsThesis Discipline

    Statistics

    View Usage Statistics
    • SUBMISSIONS
    • Research Outputs
    • UC Theses
    • CONTACTS
    • Send Feedback
    • +64 3 369 3853
    • ucresearchrepository@canterbury.ac.nz
    • ABOUT
    • UC Research Repository Guide
    • Copyright and Disclaimer
    • SUBMISSIONS
    • Research Outputs
    • UC Theses
    • CONTACTS
    • Send Feedback
    • +64 3 369 3853
    • ucresearchrepository@canterbury.ac.nz
    • ABOUT
    • UC Research Repository Guide
    • Copyright and Disclaimer