When we use estimation to determine the value of a parameter, we always use random sampling, rather than convenience sampling or judgment sampling, because random sampling:
A) avoids the errors inherent in judgment sampling.
B) avoids the errors inherent in convenience sampling.
C) avoids the errors inherent in voluntary response sampling.
D) eliminates the systematic error or bias that arises in nonrandom sampling.

Question

Quizplus · Accepted Answer

Random sampling ensures that every member or subset of a population has an equal chance of being included in the sample, which reduces the possibility of bias or systematic error. Convenience sampling or judgment sampling, on the other hand, may introduce biases based on the preferences or opinions of the researcher or the sampled individuals. Voluntary response sampling may also introduce biases because only those who choose to respond are included in the sample. Therefore, random sampling is the best choice to eliminate systematic error or bias.

When We Use Estimation to Determine the Value of a Parameter