Asked by Hunter Roberts on May 22, 2024

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If there is no difference between sample and population values,what do you have?

A) a high sampling error
B) a low but positive sampling error
C) no sampling error
D) It cannot be determined.

Sampling Error

The deviation of a sample statistic from its population parameter due to the fact that only a subset of the population is observed.

Sample And Population Values

Quantitative or qualitative characteristics measured in a subset (sample) and those from the entire group of interest (population), respectively.

  • Comprehend the significance of sampling error in research.
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TA
Tatyanna AlstonMay 29, 2024
Final Answer :
C
Explanation :
If there is no difference between sample and population values, then there is no sampling error, which means that the sample used is perfectly representing the population.