A simple random sample ensures every individual's equal chance of selection, requiring a sampling frame covering the entire population.
The description provided aligns with the concept of a simple random sample. In a simple random sample, every individual in the population has an equal chance of being selected, and the probability of inclusion can be calculated. This method ensures that the sample is representative of the entire population, as each member has an equal likelihood of being part of the study.
To achieve this, the sampling frame, which is the list or mechanism used to identify and select the sample, should encompass the whole population. In a well-executed simple random sample, each member of the population is considered, and the process is characterized by randomness and lack of bias, contributing to the generalizability of study findings to the entire population.