Spring 2023 - STAT 410 D100
Statistical Analysis of Sample Surveys (3)
Class Number: 5917
Delivery Method: In Person
Course Times + Location:
Mo 2:30 PM – 3:20 PM
WMC 2202, Burnaby
Th 2:30 PM – 4:20 PM
AQ 3154, Burnaby
Exam Times + Location:
Apr 22, 2023
8:30 AM – 11:30 AM
BLU 10921, Burnaby
1 778 782-4898
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.
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
- Quizzes 36%
- Comprehensive assessment 24%
- Poster presentation 15%
- Project 25%
Above grading is subject to change.
Sampling: Design and Analysis, 3rd ed. by Sharon Lohr, 2021. Publisher: Routledge/Taylor and Francis
Book is available through the SFU Bookstore
REQUIRED READING NOTES:
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Department Undergraduate Notes:
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