Everything You Need To Know About Sampling Error
Sampling Error is the difference between what a study found and what the larger population might be expected to find if they were studied What is Sampling Error? Sampling error refers to discrepancies that result from using a sample (a part of a population) instead of conducting a census (a complete count of all members of the population). Understanding sampling error is important for interpreting survey results. All surveys programming and hosting are subject to some degree of sampling error because they are based on only a subset, or sample, of possible observations collected from within an overall population. While it's not possible to know exactly how close any one survey result comes to the 'true' value in the whole population, there are mathematical calculations that can estimate what respect this is. What is the difference between sampling error and total survey error? Sampling error only concerns itself with the inaccuracy of results that can be attributed to how a