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Explain briefly the meaning of sampling error. Give an example. Does such an error occur only in a sample survey, or can it occur in both a sample survey and a census?

Short Answer

Expert verified
Sampling error is the discrepancy between estimates from a sample compared to the entire population. For example, a poll from a sample might show a different ratio compared to if every eligible participant was polled. Such errors can occur in both a sample survey and a census due to factors like nonresponses or incorrect responses.

Step by step solution

01

Definition of Sampling Error

Sampling error is the discrepancy, caused by observing a sample instead of the whole population. It can result in sample estimates that don't exactly match the parameters of the whole population from which the sample is drawn.
02

Provide an example of Sampling Error

For example, if a poll was conducted by asking 500 people who they are voting for in the election, the result might indicate a 60/40 split. However, if all eligible voters were polled instead of just the 500, the true split maybe 55/45. This discrepancy is because of a sampling error.
03

Explanation of Sampling Error Occurrence

Sampling error can occur in both a sample survey and a census. Even in a census, which attempts to survey every individual in a population, there can still be sampling errors due to nonresponses, inaccurate responses, or other collection discrepancies.

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