Description: Quantile sampling is a technique used to select a sample that represents different quantiles of a population. This methodology is based on dividing the population into segments or groups that correspond to the quantiles of a variable of interest, such as height, income, or any other quantitative measure. By doing so, it ensures that each segment is adequately represented in the sample, allowing for more accurate and representative estimates of the overall population. Quantile sampling is particularly useful in situations where one wishes to analyze the variability of a characteristic across different levels of it, ensuring that both extremes and intermediate values are included. This technique is fundamental in statistical studies, as it helps avoid biases that could arise if only individuals from a specific range were selected. Additionally, quantile sampling can be used in conjunction with other sampling techniques, making it a versatile tool in statistical research.
