STAT 348 Sampling Techniques

Description

Theory and applications of sampling from finite populations. Includes: simple random sampling, stratified random sampling, cluster sampling, systematic sampling, probability proportionate to size sampling, and the difference, ratio and regression methods of estimation.

Prerequisites: STAT 242, or STAT 245, or STAT 246

Syllabi

2026 Fall

A List of Topics with R Demonstration

1. Basics of R and Rmarkdown
2. Simple Random Sampling
3. Stratified Random Sampling
4. Ratio and Regression Estimation
5. Cluster Sampling
6. Unequal Probability Sampling

Important

• R markdown files for generating the above html files can be found from this Github folder.

• Most examples and datasets are taken from Sampling: Design and Analysis, 2nd Edition, by Sharon L. Lohr, published by Brooks/Cole.

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Last updated on July 09, 2026.