Hello everyone, Data sampling is a very effective tool for research and analysis. Sampling refers to the process of selecting a group of individuals from the larger population to represent the population for research purposes. The purpose of sampling is to approximate the characteristics that are relevant to the research question about the larger population. This is done for convenience in cutting down the cost and time required to undertake the research. When carrying out the census-based survey, the considerations are crucial. Reduction of sampling error can be made by ensuring there is a large enough sample size, choosing the right kind of sampling, and avoiding sampling bias, which occurs when some members of the population are more likely to be chosen for the sample group than others. There are multiple benefits of sampling for researchers. Data sampling allows researchers to gather information about the population quickly by negating the need to get information from every individual. It allows them to save on resources by focusing on a smaller number of individuals rather than the population. Researchers must be aware of potential risks presented by sampling bias and sampling error while conducting studies. Bhandari (2020) defines sampling bias as an occurrence when some members of a population are systematically more likely to be selected in a sample than others (p. 1). This threatens external validity. A sampling error occurs when the sample used in the stud