Sampling Technique
Sampling technique is a statistical method used to select a subset of data from a larger population. It is a process of selecting a representative sample from a population to estimate the characteristics of the whole population. Sampling technique is widely used in data science to reduce the cost and time required to collect data. It is used to make inferences about a population based on a sample. There are different types of sampling techniques such as simple random sampling, stratified sampling, cluster sampling, and systematic sampling. The choice of sampling technique depends on the research question, the size of the population, and the available resources.
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