The term "sample types" refers to different categories or groups of samples that are used in statistical analysis. These sample types can be broadly categorized into two main groups - probability and non-probability sampling methods.
Probability sampling involves selecting an appropriate sample based on the likelihood of being selected, while non-probability sampling does not rely on chance for selection. Some common sample types include simple random samples, stratified random samples, cluster samples, systematic samples, and convenience samples among others. The choice of a particular sample type depends on various factors such as the population size, the nature of the data, and the objectives of the study.
In summary, "sample types" refers to different methods used in selecting an appropriate group or individual from which information is collected for statistical analysis.