STAT 392Sample Surveys
An introduction to practical aspects of survey sampling, including writing a survey proposal, costing, non-sampling errors, rudiments of sampling theory, questionnaire design, fieldwork, basic analytic techniques, and report writing. This course is co-taught with STAT 439.
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Course details
- Dates
- 24 Feb 2025 to 22 Jun 2025
- Starts
- Trimester 1
- Fees
- NZ$899.40 for
- International fees
- NZ$4,771.80
- Lecture start times
- Tuesday 2.10pm
- Wednesday 2.10pm
- Thursday 2.10pm
- Friday 2.10pm
- Campus
- Kelburn
- Estimated workload
- Approximately 150 hours or 9.4 hours per week for 16 weeks
- Points
- 15
Entry restrictions
Taught by
School of Mathematics and Statistics—Faculty of Engineering
About this course
The objectives of this course are to provide an introduction to Sample Surveys: in particular the practical aspects of survey design, as well as the statistical theory of sampling and estimation.
Course learning objectives
Students who pass this course will be able to:
Describe the components of the Survey Process.
Describe the design of commonly used sampling schemes, including simple random sampling, stratified and cluster sampling, sample size determination.
Analyse survey data, including the calculation of point estimates and their standard errors.
Describe the key aspects of data collection.
Identify and describe sources and control of non-sampling error.
Apply the principles of clear reporting and presentation of results, including confidentialising data and output estimates.
How this course is taught
During the trimester, there will be three lectures and one tutorial per week. Tutorials take place in one of the four scheduled lecture times.
This course is designed for in-person study, and students are strongly recommended to attend lectures and tutorials on campus.
Tests require in person attendance. Any exceptions for in-person attendance for assessment will be looked at on a case-by-case basis in exceptional circumstances, e.g., through disability services or by approval by the course coordinator.
Assessment
- Assignment 1 (Populations, frames, sampling) Mark: 10%
- Test 1 Mark: 10%
- Pre-proposal Mark: 5%
- Assignment 2 (Non-response and post-stratification) + Pre-proposal Mark: 15%
- Test 2 Mark: 15%
- Assignment 3 Mark: 10%
- Survey Proposal Mark: 35%
Assessment dates and extensions
Once you've signed up to this course, you can use to see due dates for assessments and information about extensions.
Mandatory requirements
Find out what you must do to pass this course.
In addition to achieving an overall pass mark of at least 50% students must:
- Achieve a mark of at least 50% on the final project.
If you believe that exceptional circumstances may prevent you from meeting the mandatory course requirements, contact the course coordinator for advice as soon as possible.
Lecture times and rooms
What you’ll need to get
You should have a scientific calculator or calculator programme, which should be brought to all lectures and tutorials. Laptop computers should be brought to tutorials if possible, with at least access to a spreadsheet programme and a web browser.
Who to contact
Selected offering
STAT 392
24 Feb–22 Jun 2025
Trimester 1 · CRN 3048