Which of the following sampling strategies is based on random selection?

The correct answer is based on the principle of random selection, where samples are chosen in such a way that every individual or unit in the population has an equal chance of being selected. This method is designed to eliminate bias and ensure that the results are representative of the entire population. Since the objective is to obtain a sample that accurately reflects the characteristics of the population, randomness is crucial in this strategy.

This approach allows for a better statistical analysis and helps to make more reliable inferences about the population based on the sample. Random sampling is especially useful in CBRN (Chemical, Biological, Radiological, and Nuclear) reconnaissance operations as it helps to avoid systematic errors that could arise from bias in the sample selection process. By using this method, operators can ensure a comprehensive assessment of potential hazards, which is vital for effective decision-making and risk management in CBRN scenarios.