Preliminary concepts – schedules and questionnaires, pilot survey, non-sampling errors, use of random numbers. Simple random sampling with and without replacements, random number generation– estimates of population mean and population proportion and their standard errors,Probability proportional to size sampling , estimates of these standard errors. Stratified random sampling – estimates of sample statistic and estimates of their standard errors. Allocation of sample size in stratified random sampling. Linear and circular systematic sampling. Cluster sampling : Two stage sampling (equal first stage units). Ideas of ratio and regression estimators – only estimates of sample mean..
Programs
- M. Tech. in Automotive Engineering -Postgraduate
- Building Disaster Resilience and Social Responsibility through Experiential Learning: Integrating AI, GIS, and Remote Sensing -Certificate
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