Asked by Timmy Nickel on May 11, 2024
Verified
Those who engage in estimation insist on random sampling, rather than convenience sampling or judgment sampling, because random sampling:
A) avoids the errors inherent in matched-pairs sampling
B) avoids the errors inherent in work sampling
C) avoids the errors inherent in voluntary response sampling
D) eliminates the systematic error or bias that arises in nonrandom sampling
E) achieves all of these
Random Sampling
A method in statistical analysis where individuals or items are selected from a larger population entirely by chance, ensuring that every member has an equal opportunity of being chosen.
Convenience Sampling
A non-probability sampling method where participants are selected based on their availability and proximity to the researcher.
Judgment Sampling
A sampling method where the samples are selected based on the opinion of an expert, rather than random selection.
- Recognize the importance of random sampling in statistical estimation to avoid bias.
Verified Answer
FC
Florita CardozaMay 11, 2024
Final Answer :
D
Explanation :
Random sampling eliminates any systematic error or bias that may arise in nonrandom sampling methods such as convenience sampling or judgment sampling. Matched-pairs sampling and work sampling are not relevant to the advantages of random sampling. Voluntary response sampling is a specific type of nonrandom sampling and is also eliminated with the use of random sampling. Therefore, option D is the correct answer.
Learning Objectives
- Recognize the importance of random sampling in statistical estimation to avoid bias.