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Its importance can be summarized as follows:to collect unbiased datato improve the . Accuracy of inferenceto save cost and timeto be applied in various fieldsto serve as the . Basis for statistical testingi will explain each one. To collect unbiased datarandom sampling allows you . To collect unbiased data because every element of the population has an equal chance of . Being selected. This increases the likelihood that the survey results will accurately represent the entire . Population. For example, you can obtain data that is not biased towards a particular region .

Or age group, which allows you to draw more reliable poland phone number list conclusions. To improve the accuracy . Of inferencedata obtained through random sampling is the basis for estimating the characteristics of an . Entire population. This improves the accuracy of statistical inference and allows for more reliable conclusions . To be drawn. For example, in medical research, data from randomly selected patients can be . Used to accurately evaluate the effectiveness of treatments. To save costs and timea complete survey . (surveying the entire population) is very costly and time-consuming, but random sampling makes it possible .

To conduct a survey efficiently with fewer resources. For example, in large-scale market research, a . Survey of randomly selected consumers can be conducted to grasp the overall trend. To be . Applied in various fieldsrandom sampling is widely used in a variety of fields, including surveys, . Medical research, and market research. It allows data collection and analysis across different fields to . Be consistent and comparable. For example, in education research, data from randomly selected schools or . Classes can be used to evaluate the effectiveness of educational programs.