Sampling techniques may be considered as technology for information production needed for planning socio-economic development. In teaching the sampling course, a balance between sampling theory and its application is required to be maintained. This can be achieved only if a course on design follows practical exercises based on live data. Demonstrations of conduct of actual surveys by involving students from the initial stage of planning to the final stage of reporting the results may be considered as an integral part of the course. A proper sequence in planning the course may be helpful from the communication point of view. Adequate emphasis on the role of sampling and non-sampling errors in interpreting the survey results may be laid. To maximise the utilities of training and research in sampling techniques, there is a need of developing an integrated programme of teaching, research and extension.
The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education