What characterizes simple random sampling?

What characterizes simple random sampling?

• A. Convenience sampling by selecting easily accessible units
• B. Population divided into strata and samples drawn from each stratum
• C. Every member has an equal chance of selection, typically via randomization
• D. Population divided into clusters and some clusters are sampled

Answer: (C)

Simple random sampling means every member of the population has an equal chance of being included, and the selection is made purely by randomization. This equal-probability principle is usually achieved by assigning numbers to units and using a random process (like a random number generator) to pick the sample, often without replacement so each selected unit is unique. This approach avoids systematic biases tied to location, order, or groupings. This sets it apart from convenience sampling, which relies on readily available units; from stratified sampling, where the population is divided into subgroups and samples are drawn from each; and from cluster sampling, where entire groups or clusters are selected and only some clusters are studied.

Simple random sampling means every member of the population has an equal chance of being included, and the selection is made purely by randomization. This equal-probability principle is usually achieved by assigning numbers to units and using a random process (like a random number generator) to pick the sample, often without replacement so each selected unit is unique. This approach avoids systematic biases tied to location, order, or groupings.

This sets it apart from convenience sampling, which relies on readily available units; from stratified sampling, where the population is divided into subgroups and samples are drawn from each; and from cluster sampling, where entire groups or clusters are selected and only some clusters are studied.