When random numbers are assigned from a range and used to select a sample, what sampling method is being employed?

When random numbers are assigned from a range and used to select a sample, what sampling method is being employed?

• A. Systematic
• B. Simple
• C. Stratified
• D. Multi-Stage

Answer: (B)

The sampling method being described involves assigning random numbers from a range and using those numbers to select a sample. This aligns with the concept of simple random sampling. In simple random sampling, every individual in the population has an equal chance of being selected, and this is often achieved through random number generation or random selection techniques. In this method, the process is straightforward; individuals are chosen entirely at random without any additional criteria or stratification that would influence the selection. This method is effective for ensuring that the sample is representative of the larger population, which can enhance the reliability and validity of the results obtained from the analysis. The other sampling methods mentioned each introduce different criteria or structures for selecting samples, which distinguishes them from simple random sampling. For example, systematic sampling involves selecting every nth individual, stratified sampling divides the population into subgroups and samples from each subgroup, and multi-stage sampling combines multiple sampling methods. These characteristics highlight why the correct answer pertains specifically to simple random sampling in the scenario described.

The sampling method being described involves assigning random numbers from a range and using those numbers to select a sample. This aligns with the concept of simple random sampling. In simple random sampling, every individual in the population has an equal chance of being selected, and this is often achieved through random number generation or random selection techniques.

In this method, the process is straightforward; individuals are chosen entirely at random without any additional criteria or stratification that would influence the selection. This method is effective for ensuring that the sample is representative of the larger population, which can enhance the reliability and validity of the results obtained from the analysis.

The other sampling methods mentioned each introduce different criteria or structures for selecting samples, which distinguishes them from simple random sampling. For example, systematic sampling involves selecting every nth individual, stratified sampling divides the population into subgroups and samples from each subgroup, and multi-stage sampling combines multiple sampling methods. These characteristics highlight why the correct answer pertains specifically to simple random sampling in the scenario described.