Random selection involves choosing individuals from a population in such a way that each individual has an equal chance of being selected. This helps ensure that the sample is representative and reduces bias in statistical analysis.
Related terms
Sampling Bias: A distortion in results due to systematic errors in how individuals are selected for inclusion in a sample.
Stratified Sampling: Dividing the population into different groups or strata and then randomly selecting individuals from each group.
Simple Random Sampling: Selecting individuals from a population using randomization techniques, such as drawing names out of a hat.