Spring 2022 - STAT 410 D100

Statistical Analysis of Sample Surveys (3)

Class Number: 6715

Delivery Method: In Person


  • Course Times + Location:

    Mo 2:30 PM – 3:20 PM
    BLU 9660, Burnaby

    Th 2:30 PM – 4:20 PM
    AQ 3150, Burnaby

  • Exam Times + Location:

    Apr 23, 2022
    12:00 PM – 3:00 PM
    WMC 3260, Burnaby

  • Prerequisites:

    STAT 350 with a minimum grade of C-.



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


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


Above grading is subject to change.



Sampling: Design and Analysis, 2nd ed. by Sharon Lohr, 2010. Publisher: Routledge/Taylor and Francis

Book is available through the SFU Bookstore

Department Undergraduate Notes:

Tutor Requests:
Students looking for a tutor should visit https://www.sfu.ca/stat-actsci/all-students/other-resources/tutoring.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 2022 will involve primarily in-person instruction, with safety plans in place.  Some courses will still be offered through remote methods, and if so, this will be clearly identified in the schedule of classes.  You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).

Enrolling in a course acknowledges that you are able to attend in whatever format is required.  You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware 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.

Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112) as early as possible in order to prepare for the spring 2022 term.