A sample survey and a census are two distinct methods used in the collection of data. Both aim to gather information, but the key differences between them lie in the scope of the population surveyed, the level of accuracy, and the resources required. A census involves the collection of data from every individual unit of a population. It aims to gather complete information about the entire population, leaving no one out. This approach is comprehensive and typically used for large-scale national surveys, such as the census conducted by governments every ten years. Since a census includes every member of the population, the data it provides is considered highly accurate and reflective of the entire population. However, conducting a census can be costly, time-consuming, and logistically complex due to the need to reach every individual in the population. On the other hand, a sample survey is a method in which data is collected from a smaller, representative subset of the population, known as the sample. Instead of trying to reach every member of the population, a sample survey selects a portion of the population that is statistically representative of the whole. By using probability sampling techniques, researchers can make inferences about the entire population based on the results from the sample. While sample surveys are generally more cost-effective and quicker than censuses, their accuracy depends on the size and selection of the sample. If the sample is not representative, the results may not be reliable. ### Steps in Collecting Data Through a Sample Survey The process of collecting data through a sample survey typically follows a series of methodical steps to ensure the reliability and validity of the information collected. 1. Define the Objective: The first step is to clearly define the objective of the survey.