Spring 2021 - STAT 410 D100

Statistical Analysis of Sample Surveys (3)

Class Number: 3337

Delivery Method: In Person


  • Course Times + Location:

    Mo 2:30 PM – 3:20 PM

    Th 2:30 PM – 4:20 PM

  • Prerequisites:

    STAT 350.



An introduction to the major sample survey designs and their mathematical justification. Associated statistical analyses. Quantitative.


Course Outline:

This course covers the major ideas and methods of modern survey sampling.

  1. Ideas of sampling, overview of application areas.  Use of the free statistical software package R to select random samples and explore sampling ideas through simulation and graphics.
  2. Simple Random Sampling: Selecting random samples with and without replacement, concept of population and sampling frame, estimating means, totals, and proportions, the finite population correction factor, confidence intervals, use of the normal approximation, choosing the sample size.
  3. Unequal probability sampling.  How to select a sample of units with unequal selection or inclusion probabilities, unbiased estimation with unequal probability designs.
  4. Stratified Random Sampling: Stratification of a population, selecting stratified random samples, advantages of stratification, gains in precision, confidence limits, optimal sample sizes, stratification after selection.
  5. Ratio and Regression Estimation: Use of auxiliary information, bias, mean square error, gains in precision, confidence intervals, design versus model based approaches.

Mode of Teaching:

  • Lecture: Synchronous
  • Tutorial: Synchronous
  • Quizzes and Final Assessment: Synchronous; Date: TBA
  • Poster presentation: Synchronous; Date: TBA.
  • Final project: Synchronous; date: April 15, 2021
  • Remote invigilation (Zoom, or other approved software) will be used.


  • Quizzes 36%
  • Comprehensive assessment 24%
  • Poster presentation 15%
  • Project 25%


Above grading is subject to change.



Access to high-speed internet, webcam.


Sampling: Design and Analysis, 2nd ed. by Sharon Lohr, 2010. Publisher: Cengage
ISBN: 9780495105275


Sampling (Wiley), by Steven Thompson;
see https://www.wiley.com/en-ca/Sampling,+3rd+Edition-p-9780470402313

Both texts (the one by Lohr and the one by Thompson) are available as an electronic copy from the SFU Library.

Department Undergraduate Notes:

Students with Disabilities:
Students requiring accommodations as a result of disability must contact the Centre for Accessible Learning 778-782-3112 or csdo@sfu.ca

Tutor Requests:
Students looking for a Tutor should visit http://www.stat.sfu.ca/teaching/need-a-tutor-.html. We accept no responsibility for the consequences of any actions taken related to tutors.

Registrar Notes:


SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html


Teaching at SFU in spring 2021 will be conducted primarily through remote methods. There will be in-person course components in a few exceptional cases where this is fundamental to the educational goals of the course. Such course components will be clearly identified at registration, as will course components that will be “live” (synchronous) vs. at your own pace (asynchronous). Enrollment acknowledges that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes. To ensure you can access all course materials, we recommend you have access to a computer with a microphone and camera, and the internet. In some cases your instructor may use Zoom or other means requiring a camera and microphone to invigilate exams. If proctoring software will be used, this will be confirmed in the first week of class.

Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112).