Question

Sometimes the results from a restricted sample may not be the same as the results from...

Sometimes the results from a restricted sample may not be the same as the results from a larger population. For example, the results from the analysis on patients in a hospital may be significantly different from the results from a sample taken from the general population. Therefore, the results from analyzing a sample from the patients in a hospital may be signficantly different from the results from a sample taken from the general population. This phenomenom is called

A

Simpson's Paradox
B

Berkson's Fallacy
C

Pearson's Correlation
D

Sampling Error
Math   Statistics-And-Probability   
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Answer #1

D- sampling error

mostly the population parameters are estimate though samples.In spite use the best sampling method , there is always some discrepancy between the estimates and population values obtained by census studies of the sample population in the same manner. Such resulting discrepancies are termed as sampling errors. The sampling errors cannot be completely eliminated but may be minimised by choosing a proper sample of adequate size and adopting suitable method of estimation.

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