Fall 2026 - STAT 410 D100
Statistical Analysis of Sample Surveys (3)
Class Number: 6095
Delivery Method: In Person
Overview
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Course Times + Location:
Sep 9 – Dec 7, 2026: Tue, 10:30–11:20 a.m.
BurnabySep 9 – Dec 7, 2026: Thu, 9:30–11:20 a.m.
Burnaby
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Instructor:
Abhishek Shukla
shukla@sfu.ca
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Prerequisites:
STAT 350 with a minimum grade of C-.
Description
CALENDAR DESCRIPTION:
An introduction to the major sample survey designs and their mathematical justification. Associated statistical analyses.
COURSE DETAILS:
Course Outline:
This course covers the major ideas and methods of modern survey sampling.
- 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.
- 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.
- Unequal probability sampling. How to select a sample of units with unequal selection or inclusion probabilities, unbiased estimation with unequal probability designs.
- 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.
- Ratio and Regression Estimation: Use of auxiliary information, bias, mean square error, gains in precision, confidence intervals, design versus model based approaches
Grading
- Assignments 40%
- In-class quizzes 40%
- Project 10%
- Lab 10%
NOTES:
Above grading is subject to change.
Materials
RECOMMENDED READING:
Sampling: Design and Analysis, 3rd ed. by Sharon Lohr, 2021. Publisher: Routledge/Taylor and Francis
Book is available through the SFU Bookstore
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 caladmin@sfu.ca.
Registrar Notes:
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
At SFU, you are expected to act honestly and responsibly in all your academic work. Cheating, plagiarism, or any other form of academic dishonesty harms your own learning, undermines the efforts of your classmates who pursue their studies honestly, and goes against the core values of the university.
To learn more about the academic disciplinary process and relevant academic supports, visit:
- SFU’s Academic Integrity Policy: S10-01 Policy
- SFU’s Academic Integrity website, which includes helpful videos and tips in plain language: Academic Integrity at SFU
RELIGIOUS ACCOMMODATION
Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.