This is a session of Topic 4: Statistics education at the post secondary (tertiary) level
(Tuesday 13th, 11:00-12:30)
Sampling populations
Organizer
- Pierre Lavallée (Canada)
Abstract
Evidence-based practice makes use of data collected from human, animal or business populations. Clearly, before making any data analysis, one need draw samples or perform censuses from the populations of interest in order to collect the data. While this can be done in relatively simple but inefficient ways, statistical agencies prefer the use of sophisticated sampling methods that allow optimal results at the lowest cost. Sampling theory is then used by survey methodologists who are experts in the development and maintenance of surveys. Now, teaching sampling theory asks for an approach based on a mixture of theory and practice that reveals to be different from the approach used for the classical statistical theory. This session will present different ways to teach the theory for sampling populations.Papers
| Paper | Title | Presenter(s) / Author(s) |
| 4J1 | Teaching survey sampling with the “sampling” R package | Alina Matei (Switzerland) Yves Tillé (Switzerland) |
| 4J2 | The use of Monte Carlo simulations in teaching survey sampling | Anne Ruiz-Gazen (France) Camelia Goga (France) |
| 4J3 | Understanding sample survey theory with the “replicates-duplicates” approach | Pierre Lavallée (Canada) |