### About

The aim of this course is to cover sampling design and analysis methods that would be useful for research and management in many field. A well designed sampling procedure ensures that we can summarize and analyze data with a minimum of assumptions and complications.

### Course Topics

Topics typically covered in STAT 506 are basic methods of sampling and estimation including:

- Simple random sampling with associated estimation and confidence interval methods,
- Selecting sample sizes,
- Estimating proportions,
- Unequal probability samping,
- Ratio and regression estimation,
- Stratified sampling,
- Cluster and systematic sampling,
- Multistage designs,
- Double or Two-stage sampling,
- Capture - recapture sampling, and
- Random response model

### Course Author(s)

Dr. Mosuk Chow is the primary author of these course materials and has taught this course for many semesters in residence and online.

### Software

* * This course uses Examity for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.

Students will need to use software to generate random numbers. This can be accomplished by using a statistical software package such as Minitab, SAS or R. See the Statistical Software page for details regarding these applications.

### Textbook

**Required**:* Sampling*, 3rd.ed., by Steven K. Thompson, John Wiley and Sons, 2012.

**Optional**:* Elementary Survey Sampling*, 6th.or 7th ed., by R. Scheaffer, W. Mendenhall III, R. L. Ott, Duxbury Press, 2005.

### Assessment Plan

- Homework Activities - 30%
- Online Mid-term Exam - 30%
- Project - 10%
- Proctored Final Exam - 30%

PLEASE NOTE: This course may require you to take exams using certain proctoring software that uses your computer’s webcam or other technology to monitor and/or record your activity during exams.