A sampling technique involves selecting a subset of individuals from a larger population to gather information and make inferences about the entire population. Here is a clear definition and criteria for evaluating the use of sampling by the U.S. Census Bureau: Definition: Sampling Technique - A method used to select a representative sample from a population for the purpose of data collection and analysis. Required attributes for evaluating the use of sampling by the U.S. Census Bureau: Randomness: The sampling method should ensure that every individual in the population has an equal chance of being selected. Representativeness: The sample should accurately reflect the demographic and geographic diversity of the population. Precision: The sample size should be sufficient to provide reliable estimates with a small margin of error. Cost-effectiveness: The sampling method should be efficient and cost-effective compared to a complete enumeration. Timeliness: The sampling approach should allow for timely data collection and analysis within the census timeframe. Variable attributes for evaluating the use of sampling by the U.S. Census Bureau: Sampling Method: The specific technique used to select the sample, such as simple random sampling, stratified sampling, or cluster sampling. Sampling Frame: The list or source from which the sample