One reason a sample may fail to represent the population of interest is <u>sampling error.</u>
The correct answer is an option (c)
We know that the sampling error is a statistical error that occurs when an analyst does not select a sample which represents the entire population of data.
So, the results found in the sample and the results obtained from the entire population would be different.
This error occurs when the sample used in the study is not representative of the entire population.
A sampling error is nothing but a deviation in the sampled value vs. the true population value.
Even randomized samples might have some degree of sampling error because in randomized samples, sample is only an approximation of the population from which it is drawn.
There are different categories of sampling errors.
- Population-Specific Error
- Selection Error
- Sample Frame Error
- Non-response Error
- Eliminating Sampling Errors
Therefore, One reason a sample may fail to represent the population of interest is <u>sampling error.</u>
The correct answer is an option (c)
Learn more about the sampling error here:
brainly.com/question/15375591
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