Sampling Concept and Methods
Summary :Sampling definition: selecting representative sample from population for analysis and inference. Needs: population movement, cost/time constraints, destructive testing. Bias types: undercoverage, non-response, wording. Sampling vs non-sampling errors. Population parameters (µ, σ²) vs sample statistics (X̄, s²).