STAT455-22S1 (C) Semester One 2022

Data Collection and Sampling Methods

15 points

Details:
Start Date: Monday, 21 February 2022
End Date: Sunday, 26 June 2022
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 6 March 2022
  • Without academic penalty (including no fee refund): Sunday, 15 May 2022

Description

Data Collection and Sampling Methods

STAT312 and STAT455 are courses in survey methods, concentrating mainly on sample designs. The course is designed to give students an understanding of how to select samples from various types of populations of varying characteristics and produce population estimates along with measures of uncertainties in those estimates. Also you will gain some insights in the practical applications of the design of survey collections.

Richard Penny, one of the lecturers for this course, has worked for many years designing samples and surveys for Statistics New Zealand.

Learning Outcomes

  • The Courses will:
  •  introduce data collection and sampling techniques
  •  introduce simple random sampling, stratified sampling and cluster sampling designs along with their strengths and weaknesses
  • introduce the use of the statistics software package R

    You will be able to:
  • describe and conduct appropriate statistical sampling techniques
  • be able to interpret the model results in such a way that a non-user of statistics can understand
  • use R competently
  • write a scientific and technical report
    • University Graduate Attributes

      This course will provide students with an opportunity to develop the Graduate Attributes specified below:

      Critically competent in a core academic discipline of their award

      Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.

      Employable, innovative and enterprising

      Students will develop key skills and attributes sought by employers that can be used in a range of applications.

      Biculturally competent and confident

      Students will be aware of and understand the nature of biculturalism in Aotearoa New Zealand, and its relevance to their area of study and/or their degree.

      Engaged with the community

      Students will have observed and understood a culture within a community by reflecting on their own performance and experiences within that community.

      Globally aware

      Students will comprehend the influence of global conditions on their discipline and will be competent in engaging with global and multi-cultural contexts.

Prerequisites

Subject to approval of the Head of School.

Timetable 2022

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 09:00 - 10:00 Jack Erskine 441
21 Feb - 10 Apr
2 May - 5 Jun
Lecture B
Activity Day Time Location Weeks
01 Thursday 16:00 - 17:00 Jack Erskine 441
21 Feb - 10 Apr
2 May - 5 Jun
Tutorial A
Activity Day Time Location Weeks
01 Thursday 17:00 - 18:00 Jack Erskine 441
28 Feb - 10 Apr
2 May - 5 Jun

Course Coordinator / Lecturer

Jennifer Brown

Lecturer

Richard Penny

Assessment

Assessment Due Date Percentage 
Assignments (x3) 20%
Data collection project 20%
Research project and presentation 20%
Final examination 40%

Indicative Fees

Domestic fee $1,017.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Mathematics and Statistics .

All STAT455 Occurrences

  • STAT455-22S1 (C) Semester One 2022
  • STAT455-22S1 (D) Semester One 2022 (Distance)