Which sampling method uses a random technique so that every member of the target population has an equal chance of being selected?

Which sampling method uses a random technique so that every member of the target population has an equal chance of being selected?

• A. Random Sampling
• B. Stratified Sampling
• C. Systematic Sampling
• D. Volunteer Sampling

Answer: (A)

Random sampling is about giving every member of the target population the same chance of being chosen. This equal-probability approach is achieved by using a random technique—such as assigning numbers to everyone and drawing numbers with a random method (random number generator, lottery, etc.). Because each individual has an equal opportunity to be selected, this method best fits the description. Stratified sampling aims to reflect subgroups by sampling within them, which helps representation but doesn’t guarantee equal chances for every person across the whole population. Systematic sampling picks every nth item after a random start; it’s efficient but its equal-probability property isn’t the defining feature. Volunteer sampling relies on who chooses to participate, which introduces bias and isn’t random.

Random sampling is about giving every member of the target population the same chance of being chosen. This equal-probability approach is achieved by using a random technique—such as assigning numbers to everyone and drawing numbers with a random method (random number generator, lottery, etc.). Because each individual has an equal opportunity to be selected, this method best fits the description. Stratified sampling aims to reflect subgroups by sampling within them, which helps representation but doesn’t guarantee equal chances for every person across the whole population. Systematic sampling picks every nth item after a random start; it’s efficient but its equal-probability property isn’t the defining feature. Volunteer sampling relies on who chooses to participate, which introduces bias and isn’t random.