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.
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
Dr. Mosuk Chow is the primary author of these course materials and has taught this course for many semesters in residence and online.
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.
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.
Calculus and 3 credits in statistics, for example, STAT 500 is recommended.