Random sample
in a _________________ sample, members of the population are selected in such a way that each has an equal chance of being selected.
A random sample is a group of items or individuals selected from a larger population using a method that ensures each item or individual has an equal chance of being chosen. This means that every unit in the population has an equal probability of being chosen for the sample, and the selection process is done without any bias, prejudice or predetermined pattern.
Random sampling is essential in several fields such as statistics, research, and data analysis. This method provides accurate and reliable results because it minimizes the chance of introducing bias into the sample. A random sample helps researchers to generalize the findings of the study to the entire population, meaning that the sample is representative of the population from which it was drawn.
Some common techniques used for random sampling include simple random sampling, stratified random sampling, cluster sampling, and systematic sampling. Each technique involves different processes for selecting items or individuals from the population.
Overall, a random sample is an essential tool in research and analysis, as it allows for unbiased, representative sampling of a larger population, leading to more accurate results.